<h2>The Role</h2><p>We aim to establish the Span panel as the center of home energy and the backbone of the renewable distributed grid. Analytics and ML are essential tools to develop features for the smart, green, energy-efficient home of the future. Span’s unique ability to monitor and control individual circuits opens up a new avenue for proactive whole-home management and equipment failure detection. As Staff ML Engineer, you will leverage your deep understanding of ML, modeling, and statistics to solve problems including anomaly detection, event prediction and context understanding with the goal to optimally manage whole-home energy consumption, deliver meaningful insights to the customer, and notify them about a potential failure of equipment or hazards in their home. You’ll spearhead the entire development process, from working with the product team to define scope, the the firmware team to assess what can be implemented, the cloud team on ML ops, and the data collection team for training data. That said, we are a startup - broad range of production software development skills, flexibility to wear many hats, and enthusiasm to learn will go a long way.</p>Responsibilities<p>Lead the development of ML algorithms from the ground up which includes:</p><ul><li><p>Gain knowledge in the relevant domain (e.g.appliance signatures, failure modes, load disaggregation)</p></li><li><p>Feature engineering (including embedded implementation)</p></li><li><p>Use your experience with different machine learning frameworks to identify suitable tools for integration in Span’s software platform</p></li><li><p>Integrate developed algorithms in our production code base with robust test coverage</p></li><li><p>Work with the firmware and software teams to design Span’s edge model deployment framework</p></li><li><p>Proactively identify opportunities within Span that can benefit from data science analysis</p></li><li><p>Use fleet data to monitor algorithms in the field</p></li><li><p>Guide selection of hardware for next generation products and recommend ways to future-proof our designs</p></li></ul><p><em>Note: We’re a startup, so while this list is broad, it’s still just a start; you’ll end up wearing many hats during your time at Span.</em></p><h3>About You </h3>Required Qualifications<ul><li><p>Master’s degree or higher in Computer Science, Mathematics, Engineering, or a closely related field</p></li><li><p>5+ years' of professional experience with developing and implementing machine learning models in production for a IOT / hardware related product ; 7+ years of overall experience</p></li><li><p>Deep understanding machine learning algorithms (feature extraction from high-frequency signals, ML for physical processes, model compression and edge inference)</p></li><li><p>Advanced Python skills, as well as familiarity with pandas and various ML toolkits (pytorch / tensorflow)</p></li><li><p>Software design experience and ability to write clean, maintainable, and shippable production code</p></li><li><p>Experience working with SQL and data visualization tools</p></li><li><p>Extensive data modeling and data architecture skills</p></li><li><p>Knowledge and experience working within cloud computing environments such as AWS</p></li><li><p>Strong communication and interpersonal skills</p></li><li><p>Ability to understand and explain complex problems simply and effectively</p></li></ul>Bonus Qualifications<ul><li><p>Exposure to digital signal processing as applied to feature extraction and processing</p></li><li><p>CUDA programming / distributed training methods</p></li><li><p>Experience in non-intrusive load measurement methods</p></li><li><p>Blind source separation techniques including ICA / PCA / EMD</p></li><li><p>Understanding of electrical systems and residential loads</p></li></ul><p>The U.S. base salary range for this position is $190,000 - $225,000 plus benefits, equity and variable compensation for Sales-related roles. This range represents SPAN’s good faith estimate of competitively-priced salary for the role based on national, real-time industry data from companies of a similar growth stage. This range reflects minimum and maximum new hire salaries for the role across US locations. Within the range, individual pay is determined by location and individual factors including relevant skills, experience and education or training. This range correlates to the relative level of the candidate we believe we need for the role and may require an adjustment for candidates of a different level. </p><p>Your recruiter can share more about the specific salary range for the location this role is based during the hiring process.  </p><h2>Life at SPAN</h2><p>Headquartered in San Francisco’s vibrant SoMa neighborhood, we are an eclectic group of creative thinkers who value open communication, teamwork, and a ‘make it happen’ approach to addressing complex challenges. </p><p>SPAN embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. </p><p>We’re hiring talented individuals who are driven by success and are passionate about shaping the future of renewable energy. If that sounds like you, we’d love for you to consider joining the rapidly growing team at SPAN.</p><p><strong>The Perks:</strong></p><p>⚡ Competitive compensation + equity grants at a well-funded, venture-backed company</p><p>⚡ Comprehensive benefits (including medical; dental, vision, life and disability insurance)</p><p>⚡ Comfortable, sunny office space located near BART and Caltrain public transit</p><p>⚡ Strong focus on teambuilding and company culture (events, meet-ups, clubs)</p><p>⚡ Flexible hours and unlimited PTO</p>

Developing intuitive renewable energy products for a simple and delightful home experience, SPAN embraces technology and humanity.

Staff Machine Learning Engineer

<div><div><p style="margin:0.0pt;text-align:justify;"><span style="font-family:Calibri;font-size:11.0pt;font-weight:bold;"> </span><span style="font-family:'Open Sans';font-size:10.0pt;">Our mission at Enphase Energy is to advance a sustainable future for all.</span></p><p style="margin:0.0pt;text-align:justify;"><br><span style="font-family:'Open Sans';font-size:10.0pt;">Today, our intelligent microinverters, which turn sunlight into an affordable, safe, reliable, and scalable source of energy, work with virtually every solar panel made, and when paired with our award-winning smart battery technology, we engineer one of the industry's best-performing clean energy systems. </span><span style="font-family:'Open Sans';font-size:10.0pt;">To date, we have installed more than 48 million microinverters on more than 2.5 million systems across 140 countries and well over 50 thousand homes use our energy storage products.</span></p><p style="margin:0.0pt;"><br><span style="font-family:'Open Sans';font-size:10.0pt;">Like our customers, our innovative teams are also worldwide, making Enphase Energy a truly global company. We are one of the fastest growing and most dynamic energy companies in the world. Nimble and acutely focused on developing ground-breaking solar energy management technology, each of our teams has a shared goal of creating a carbon-free future.</span></p><p style="line-height:12.65pt;margin:0.0pt 0.0pt 10.0pt;text-align:justify;"><span style="font-family:'Times New Roman';font-size:11.0pt;"> </span></p><p style="margin:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;font-weight:bold;">Do you want to help change the world? Learn more about the role:</span></p><p style="margin:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;"> </span></p><p style="margin:0.0pt 0.0pt 8.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">For our Customer Experience </span><span style="font-family:'Open Sans';font-size:10.0pt;">AI ML COE </span><span style="font-family:'Open Sans';font-size:10.0pt;">team, we seek Hands-On Data</span><span style="font-family:'Open Sans';font-size:10.0pt;">/MLOps</span><span style="font-family:'Open Sans';font-size:10.0pt;"> </span><span style="font-family:'Open Sans';font-size:10.0pt;">Engineer</span><span style="font-family:'Open Sans';font-size:10.0pt;"> who can work on designing &amp; implementing high quality scalable data and analytics applications/platforms</span><span style="font-family:'Open Sans';font-size:10.0pt;"> </span><span style="font-family:'Open Sans';font-size:10.0pt;">for large scale Machine Learning Distributed systems </span><span style="font-family:'Open Sans';font-size:10.0pt;">in agile environment. </span><span style="font-family:'Open Sans';font-size:10.0pt;">You will be part of a team deploying state-of-the-art AI </span><span style="font-family:'Open Sans';font-size:10.0pt;">ML </span><span style="font-family:'Open Sans';font-size:10.0pt;">solutions for </span><span style="font-family:'Open Sans';font-size:10.0pt;">Enphase</span><span style="font-family:'Open Sans';font-size:10.0pt;"> </span><span style="font-family:'Open Sans';font-size:10.0pt;">customers</span><span style="font-family:'Open Sans';font-size:10.0pt;">.</span><span style="background-color:rgb(255,255,255);color:rgb(36,36,36);font-family:Georgia;font-size:15.0pt;letter-spacing:-0.05pt;"> </span></p><p style="margin:0.0pt 0.0pt 8.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">Your ability to lead the </span><span style="font-family:'Open Sans';font-size:10.0pt;">data </span><span style="font-family:'Open Sans';font-size:10.0pt;">architecture, design, and implementation of maintainable, high-quality, and high-performing data analytics systems and AI applications is essential for success in this role.</span><span style="font-family:'Open Sans';font-size:10.0pt;"> Understanding of data modelling</span><span style="font-family:'Open Sans';font-size:10.0pt;">, transformation in big data</span><span style="font-family:'Open Sans';font-size:10.0pt;">/ML </span><span style="font-family:'Open Sans';font-size:10.0pt;">environment</span><span style="font-family:'Open Sans';font-size:10.0pt;"> and </span><span style="font-family:'Open Sans';font-size:10.0pt;">prior experience </span><span style="font-family:'Open Sans';font-size:10.0pt;">of </span><span style="font-family:'Open Sans';font-size:10.0pt;">building </span><span style="font-family:'Open Sans';font-size:10.0pt;">D</span><span style="font-family:'Open Sans';font-size:10.0pt;">ata</span><span style="font-family:'Open Sans';font-size:10.0pt;">/MLOps</span><span style="font-family:'Open Sans';font-size:10.0pt;"> pip</span><span style="font-family:'Open Sans';font-size:10.0pt;">elines</span><span style="font-family:'Open Sans';font-size:10.0pt;"> using industry proven</span><span style="font-family:'Open Sans';font-size:10.0pt;"> </span><span style="font-family:'Open Sans';font-size:10.0pt;">D</span><span style="font-family:'Open Sans';font-size:10.0pt;">ata</span><span style="font-family:'Open Sans';font-size:10.0pt;">/ML</span><span style="font-family:'Open Sans';font-size:10.0pt;"> platforms is must for this role.</span></p><p style="margin:0.0pt 0.0pt 8.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;font-weight:bold;">What you will be doing:</span></p><ul style="margin:0.0pt;padding-left:0.0pt;"><li style="font-family:serif;font-size:10.0pt;margin:0.0pt 0.0pt 0.0pt 26.5pt;padding-left:9.5pt;text-indent:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">Actively seek out and solve tough </span><span style="font-family:'Open Sans';font-size:10.0pt;">data </span><span style="font-family:'Open Sans';font-size:10.0pt;">and MLOps </span><span style="font-family:'Open Sans';font-size:10.0pt;">engineering problems</span><span style="font-family:'Open Sans';font-size:10.0pt;">. </span></li><li style="font-family:serif;font-size:10.0pt;line-height:12.65pt;margin:0.0pt 0.0pt 0.0pt 26.5pt;padding-left:9.5pt;text-indent:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">Develop and Implement Data Arch</span><span style="font-family:'Open Sans';font-size:10.0pt;">, Data Warehouse</span><span style="font-family:'Open Sans';font-size:10.0pt;"> and </span><span style="font-family:'Open Sans';font-size:10.0pt;">Hot/Warm/Cold data storage policy</span><span style="font-family:'Open Sans';font-size:10.0pt;"> </span><span style="font-family:'Open Sans';font-size:10.0pt;">in cost optimized way </span><span style="font-family:'Open Sans';font-size:10.0pt;">to support AI/ML/Data use cases across the company.</span></li><li style="font-family:serif;font-size:10.0pt;line-height:12.65pt;margin:0.0pt 0.0pt 0.0pt 26.5pt;padding-left:9.5pt;text-indent:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">Buil</span><span style="font-family:'Open Sans';font-size:10.0pt;">d</span><span style="font-family:'Open Sans';font-size:10.0pt;"> large scale </span><span style="font-family:'Open Sans';font-size:10.0pt;">data</span><span style="font-family:'Open Sans';font-size:10.0pt;">/MLOps</span><span style="font-family:'Open Sans';font-size:10.0pt;"> pipelines</span><span style="font-family:'Open Sans';font-size:10.0pt;"> with stream processing and batch processing</span><span style="font-family:'Open Sans';font-size:10.0pt;"> involving high volume and </span><span style="font-family:'Open Sans';font-size:10.0pt;">variety</span><span style="font-family:'Open Sans';font-size:10.0pt;"> of data.</span></li><li style="font-family:serif;font-size:10.0pt;line-height:12.65pt;margin:0.0pt 0.0pt 0.0pt 26.5pt;padding-left:9.5pt;text-indent:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">Build Architecture and Data</span><span style="font-family:'Open Sans';font-size:10.0pt;">/MlOps</span><span style="font-family:'Open Sans';font-size:10.0pt;"> pipelines to perform data ingestion, cleansing,  transformation to </span><span style="font-family:'Open Sans';font-size:10.0pt;">p</span><span style="font-family:'Open Sans';font-size:10.0pt;">rovide data in proper format and </span><span style="font-family:'Open Sans';font-size:10.0pt;">timely</span><span style="font-family:'Open Sans';font-size:10.0pt;"> </span><span style="font-family:'Open Sans';font-size:10.0pt;">basis </span><span style="font-family:'Open Sans';font-size:10.0pt;">for </span><span style="font-family:'Open Sans';font-size:10.0pt;">predictive analytics problems.</span></li><li style="font-family:serif;font-size:10.0pt;margin:0.0pt 0.0pt 0.0pt 26.5pt;padding-left:9.5pt;text-indent:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">Design the data pipelines and engineering infrastructure to support enterprise machine learning systems at scale</span></li><li style="font-family:serif;font-size:10.0pt;margin:0.0pt 0.0pt 0.0pt 26.5pt;padding-left:9.5pt;text-indent:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">Take offline models data scientists build and turn them into a real machine learning production system</span></li><li style="font-family:serif;font-size:10.0pt;margin:0.0pt 0.0pt 0.0pt 26.5pt;padding-left:9.5pt;text-indent:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">Develop and deploy scalable tools and services to handle machine learning training and inference</span></li><li style="font-family:serif;font-size:10.0pt;margin:0.0pt 0.0pt 0.0pt 26.5pt;padding-left:9.5pt;text-indent:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">Identify and evaluate new technologies to improve performance, maintainability, and reliability of machine learning systems</span></li><li style="font-family:serif;font-size:10.0pt;margin:0.0pt 0.0pt 0.0pt 26.5pt;padding-left:9.5pt;text-indent:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.</span></li><li style="font-family:serif;font-size:10.0pt;margin:0.0pt 0.0pt 0.0pt 26.5pt;padding-left:9.5pt;text-indent:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">Support model development, with an emphasis on auditability, versioning, and data security</span></li><li style="font-family:serif;font-size:10.0pt;margin:0.0pt 0.0pt 0.0pt 26.5pt;padding-left:9.5pt;text-indent:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">Facilitate the development and deployment of proof-of-concept machine learning systems</span></li></ul><ul style="margin:0.0pt;padding-left:0.0pt;"><li style="font-family:serif;font-size:10.0pt;line-height:12.65pt;margin:0.0pt 0.0pt 0.0pt 26.5pt;padding-left:9.5pt;text-indent:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">Communicate with </span><span style="font-family:'Open Sans';font-size:10.0pt;">stakeholders</span><span style="font-family:'Open Sans';font-size:10.0pt;"> </span><span style="font-family:'Open Sans';font-size:10.0pt;">to translate business needs to technical requirements</span></li></ul><p style="line-height:12.65pt;margin:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;"> </span></p><p style="background-color:rgb(255,255,255);line-height:15.0pt;margin:7.5pt 0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;font-weight:bold;">Who you are and what you bring: </span></p><ul style="margin:0.0pt;padding-left:0.0pt;"><li style="font-family:serif;font-size:10.0pt;line-height:12.65pt;margin:0.0pt 0.0pt 0.0pt 26.5pt;padding-left:9.5pt;text-indent:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">B.E/B.Tech in Computer Science or Electrical Engineering from top tier college and &gt;70% marks.</span></li><li style="font-family:serif;font-size:10.0pt;line-height:12.65pt;margin:0.0pt 0.0pt 0.0pt 26.5pt;padding-left:9.5pt;text-indent:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">5</span><span style="font-family:'Open Sans';font-size:10.0pt;">-10 </span><span style="font-family:'Open Sans';font-size:10.0pt;">years’ experience designing, implementing large scale data engineering and data science distributed systems </span></li><li style="font-family:serif;font-size:10.0pt;line-height:12.65pt;margin:0.0pt 0.0pt 0.0pt 26.5pt;padding-left:9.5pt;text-indent:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent)</span></li><li style="font-family:serif;font-size:10.0pt;line-height:12.65pt;margin:0.0pt 0.0pt 0.0pt 26.5pt;padding-left:9.5pt;text-indent:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">Advanced, inside-out knowledge of multiple data store system in relational and NoSQL databases, messaging queues, preferably a polyglot programmer who can code in at least 2 high-level languages (Java / Ruby / Python / JS / Go / Elixir) </span></li><li style="font-family:serif;font-size:10.0pt;line-height:12.65pt;margin:0.0pt 0.0pt 0.0pt 26.5pt;padding-left:9.5pt;text-indent:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">Expert and hands-on experience of fault-tolerant data engineering systems (Hadoop/HDFS/Cassandra/MongoDB/Spark etc.) and multi-datacenter/cloud architectures with at-least 1 cloud platform (AWS, Microsoft Azure, GCP) preferably AWS.</span></li><li style="font-family:serif;font-size:10.0pt;line-height:12.65pt;margin:0.0pt 0.0pt 0.0pt 26.5pt;padding-left:9.5pt;text-indent:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">Experience working with at least one  </span><span style="font-family:'Open Sans';font-size:10.0pt;">Data and M</span><span style="font-family:'Open Sans';font-size:10.0pt;">achine learning </span><span style="font-family:'Open Sans';font-size:10.0pt;">platform</span><span style="font-family:'Open Sans';font-size:10.0pt;"> (AWS, </span><span style="font-family:'Open Sans';font-size:10.0pt;">Palantir</span><span style="font-family:'Open Sans';font-size:10.0pt;">, Databricks</span><span style="font-family:'Open Sans';font-size:10.0pt;">, Snowflake</span><span style="font-family:'Open Sans';font-size:10.0pt;"> etc) </span><span style="font-family:'Open Sans';font-size:10.0pt;">solving big data predictive analytics problems.</span></li><li style="font-family:serif;font-size:10.0pt;line-height:12.65pt;margin:0.0pt 0.0pt 0.0pt 26.5pt;padding-left:9.5pt;text-indent:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">Experience developing and maintaining ML systems built with open source tools</span></li><li style="font-family:serif;font-size:10.0pt;line-height:12.65pt;margin:0.0pt 0.0pt 0.0pt 26.5pt;padding-left:9.5pt;text-indent:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">Experience developing with containers and Kubernetes in cloud computing environments</span></li><li style="font-family:serif;font-size:10.0pt;line-height:12.65pt;margin:0.0pt 0.0pt 0.0pt 26.5pt;padding-left:9.5pt;text-indent:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.)</span></li><li style="font-family:serif;font-size:10.0pt;line-height:12.65pt;margin:0.0pt 0.0pt 0.0pt 26.5pt;padding-left:9.5pt;text-indent:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">Exposure to machine learning methodology and best practices</span></li><li style="font-family:serif;font-size:10.0pt;line-height:12.65pt;margin:0.0pt 0.0pt 0.0pt 26.5pt;padding-left:9.5pt;text-indent:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.)</span></li><li style="font-family:serif;font-size:10.0pt;line-height:12.65pt;margin:0.0pt 0.0pt 0.0pt 26.5pt;padding-left:9.5pt;text-indent:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">Experience working as part of a product team, along with engineers and product managers, to define the problem and execute the data engineering and data science solutions.</span></li><li style="font-family:serif;font-size:10.0pt;line-height:12.65pt;margin:0.0pt 0.0pt 0.0pt 26.5pt;padding-left:9.5pt;text-indent:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">Ability to understand business concerns and formulate them as technical problems that can be solved using data and math/stats/ML.</span></li><li style="font-family:serif;font-size:10.0pt;line-height:12.65pt;margin:0.0pt 0.0pt 0.0pt 26.5pt;padding-left:9.5pt;text-indent:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">Experience in dealing with large scale, noisy, and unstructured data. Experience with time series data will be advantageous</span></li><li style="font-family:serif;font-size:10.0pt;line-height:12.65pt;margin:0.0pt 0.0pt 0.0pt 26.5pt;padding-left:9.5pt;text-indent:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">Ability to work on a fast-paced environment &amp; Experience with IoT based systems preferred </span></li><li style="font-family:serif;font-size:10.0pt;line-height:12.65pt;margin:0.0pt 0.0pt 0.0pt 26.5pt;padding-left:9.5pt;text-indent:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">Demonstrable proficiency writing clean and concise code in Java, Python or R</span></li><li style="font-family:serif;font-size:10.0pt;line-height:12.65pt;margin:0.0pt 0.0pt 0.0pt 26.5pt;padding-left:9.5pt;text-indent:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">Strong understanding of software testing, benchmarking, and continuous integration</span></li><li style="font-family:serif;font-size:10.0pt;line-height:12.65pt;margin:0.0pt 0.0pt 0.0pt 26.5pt;padding-left:9.5pt;text-indent:0.0pt;"><span style="font-family:'Open Sans';font-size:10.0pt;">Passion for driving continual improvement initiatives on engineering best practices like coding, testing or monitoring. </span><span style="font-family:'Open Sans';font-size:10.0pt;">Excellent written and verbal communication skills</span></li></ul></div></div>

Revolutionizing clean energy solutions worldwide. Join us in our mission and experience a sustainable future.

Staff Data/MLOps Engineer

<div><span style="font-size:12pt;">Zoox is looking for experienced software engineers who can design, implement, and maintain data-intensive and large-scale distributed systems. Our systems use large amounts of real-world driving data combined with high-fidelity simulation. In this role, you will be responsible for architecting and scaling Automated ML platform capabilities. You will work cross-functionally with engineers in AI, Simulation, and Data Science to push the boundaries of scalability and performance, and bring state-of-the-art machine learning and optimization applications to production.</span></div><br><br><h3>Responsibilities</h3><ul><li>Build the foundational blocks of an automated ML platform and improve its core capabilities </li><li>Design and support large-scale infrastructure services</li><li>Lead complex, cross-functional projects</li><li>Keep up with the state-of-the-art AI frameworks  </li><li>Communicate your work to other teams at Zoox</li></ul><h3>Qualifications</h3><ul><li>3+ years of industry experience in architecting and scaling distributed systems in production </li><li>Experience building large-scale data pipelines</li><li>BS/MS in Computer Science or equivalent experience</li><li>8+ years of relevant experience</li><li>Fluency in Python </li></ul><h3>Bonus Qualifications</h3><ul><li>Experience building large-scale software services on the cloud</li><li>Experience with hyperparameter optimization</li><li>Experiencewith autonomous vehicles</li><li>Experience with AWS </li><li>Experience with LLM</li><li>Fluency in C++</li><li>Experience with Javascript and Vue or other JS frameworks</li></ul><br><div><b>Compensation</b></div><div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $221,000 to $319,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  </div><div><br></div><div>Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div><div><br></div><div><b>About Zoox</b></div><div>Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div><br></div><div><a href="https://www.linkedin.com/company/zoox-inc">Follow us on LinkedIn</a></div><div><br></div><div><b>Accommodations</b></div><div>If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div><br></div><div><b>A Final Note:</b></div><div>You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</div>

Transforming urban transportation with fully electric autonomous vehicles, challenging car ownership and reducing congestion.

Senior/Staff Software Engineer – Machine Learning Platform

<div><span style="font-size:11pt;">The Collision Avoidance System (CAS) is responsible for detecting and reacting to imminent collision situations in support of our vehicle’s overall safety goals. CAS Perception is responsible for processing raw sensor data from our vehicle’s world-class sensor suite using a combination of geometric, interpretable algorithms and deep learning to detect near-collisions with obstacles along our intended driving path, in the most challenging dense urban environments and under tight compute resource constraints. Overall CAS is parallel and complementary to our Main AI autonomy stack, and has a close relationship with our vehicle hardware and safety teams in order to architect redundancy into our overall driving system.</span></div><br><br><h3>Responsibilities</h3><ul><li>You will write algorithms to process raw sensor data, track dynamic agents, and predict the future state for agents</li><li>You will apply distributed compute algorithms to efficiently analyze petabytes of urban driving data</li><li>You will develop metrics and tools for analyzing errors and understanding improvements in our systems</li><li>You will engineer software that runs on-vehicle to efficiently execute our algorithms in real time</li><li>You will engineer software that is fault-tolerant and conforms to automotive safety standards</li><li>You will collaborate with engineers on the other parts of CAS Perception, CAS Verification &amp; Validation, CAS Planner, and the Main AI teams to solve the overall Autonomous Driving problem in complex urban environments</li></ul><h3>Qualifications</h3><ul><li>BS, MS, or PhD degree in computer science or related field</li><li>Fluency in C++</li><li>Extensive experience with programming and algorithm design</li><li>8+ years of experience in a related field</li></ul><h3>Bonus Qualifications</h3><ul><li>Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines</li><li>Experience with latency of analysis and optimization of safety critical software systems</li><li>Experience with petabyte-scale distributed computing (Spark, Databricks, generic MapReduce pipelines)</li><li>CUDA programming experience</li><li>Prior experience with Prediction and/or autonomous vehicles in general</li><li>Strong mathematics skills</li></ul><br><div><b>Compensation</b></div><div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $210,000 - $300,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  </div><div><br></div><div>Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div><div><br></div><div><b>About Zoox</b></div><div>Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div><br></div><div><a href="https://www.linkedin.com/company/zoox-inc">Follow us on LinkedIn</a></div><div><br></div><div><b>Accommodations</b></div><div>If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div><br></div><div><b>A Final Note:</b></div><div>You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</div>

Senior/Staff Software Engineer - Collision Avoidance System

<div><span style="font-size:11pt;">Our group's mission is to design, prototype and produce novel methods and tools for efficient modeling and simulations of complex systems at scale. These tools aid in measuring the safety of our Artificial Intelligence (AI) and readiness for launch. We use recent advances in machine learning, statistics, optimization, and numerical methods to verify and validate our software and AI in the most challenging environments, and subsequently develop tools to enable other teams at Zoox to do the same.</span></div><div><br></div><div><span style="font-size:11pt;">We are looking for experienced software engineers who can design, implement, and maintain data-intensive large-scale distributed systems. In this role, you will be responsible for architecting and scaling the core capabilities of our platform. You will work cross-functionally with engineers in AI, simulation, infra, and data science to push the boundaries of scalability and performance, and bring state-of-the-art machine learning and optimization applications to production. </span></div><br><br><h3>In this role, you will:</h3><ul><li>Build the foundational blocks of our distributed computing platform and improve its core capabilities </li><li>Design and support large-scale infrastructure services</li><li>Lead complex, cross-functional projects</li><li>Keep up with the state-of-the-art distributed computing and AI frameworks  </li><li>Communicate your work to other teams at Zoox</li></ul><h3>Qualifications</h3><ul><li>8+ years of industry experience in architecting and scaling distributed systems in production </li><li>Experience building large-scale efficient data pipelines</li><li>BS/MS in Computer Science or equivalent experience</li><li>Fluency in production-level Python</li></ul><h3>Bonus Qualifications</h3><ul><li>Experience building large-scale software services in the cloud</li><li>Experience with hyperparameter optimization or large-scale simulations</li><li>Experience with Amazon Web Services (AWS) and Compute Unified Device Architecture (CUDA)</li></ul><br><div><b>Compensation</b></div><div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $204,000 to $294,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.</div><div> </div><div>Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div><div><br></div><div><br></div><div><b>About Zoox</b></div><div>Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div><br></div><div><a href="https://www.linkedin.com/company/zoox-inc">Follow us on LinkedIn</a></div><div><br></div><div><b>Accommodations</b></div><div>If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div><br></div><div><b>A Final Note:</b></div><div>You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</div>

Senior/Staff Software Engineer - Distributed Computing Platform

<p><strong>Monta's powerful EV platform connects the dots in the entire EV charging industry.</strong></p><p>We are looking for a talented <strong>Staff Data Scientist </strong>to join our team<strong> in Copenhagen. </strong>As a Staff Data Scientist at Monta, you will spearhead our modeling and algo efforts. This includes cool stuff like our Smart Charge algo or Fair Price Recommendation Engine.  If this sounds like you, we’re looking forward to seeing your application!</p><p><em>We’ve closed a huge Series B round! 80M EUR and soaring! Our journey so far? An expansion across various markets, prestigious #ISO27001 and B-Corp certifications, and proactive tech revolutionizing the EV charging experience. Not to mention, our growth has skyrocketed 6X since the last round, nearing 1 million monthly charging sessions, and 1,000 #EV drivers joining us daily! Monta will use the EUR 80M funding to double down on its successful software-only strategy by strengthening investments in all markets and improving and expanding its product to new sectors ready to embark on an electrified future.</em></p><p></p><h3>Key Responsibilities</h3><ul> <li>Own our modeling and algorithm efforts from end-to-end. This includes architecture, ETL, data processing, setting up production grade solutions, building an interface our product can interact with and making sure that stakeholders are happy with the results.</li> <li>Broaden the impact of ML models and algos across Monta. Work with relevant teams across the org to understand how modeling can help them achieve their goals. </li> <li>Provide leadership in the data team and mentoring across the engineering team.</li> <li>Have a strong understanding and opinion on the overall technology roadmap and understand how modeling can impact our business. </li> </ul><p></p><h3>Requirements</h3><ul> <li>A minimum of 8 years experience in relevant industry roles. </li> <li>Broad experience with algorithms and building models, advanced knowledge of at least one subfield of machine learning. </li> <li>Data engineering experience and strong understanding of data architecture.</li> <li>Experience with setting up software for lifecycle management of algorithms and models.</li> <li>Expert in Python and SQL. </li> <li>Bonus for any compiled coding languages. </li> </ul><p></p><h3> Benefits</h3><ul> <li>3 annual company-wide events (including 3 day Summit) plus team events - both in-person and virtually.</li> <li>Flexible Work From Home policy.</li> <li>Warrant program - share Monta’s success!</li> <li>Vacation days are 30 days (5 weeks + 5 top up days!)</li> <li>Educational budget + time off for personal/professional development.</li> <li>Shared company car + electric bikes in our bigger offices.</li> <li>Stay fit with a subsidized gym membership.</li> <li>Free snacks &amp; beverages at the offices.</li> <li>Subsidized plant-based lunch.</li> <li>Pension + Health Insurance.</li> <li>Paid parental leave.</li> </ul><p></p><h3></h3><p><strong>Please send your resume in English.</strong></p><p><em>This role demands proficient English language skills for professional verbal and written communication. As Monta is a globally active company, the effective performance of duties in this position necessitates frequent and regular interactions with colleagues and partners around the world, predominantly in English.</em></p><p><em>Monta does not accept unsolicited resumes from headhunters or recruitment agencies. Unsolicited resumes sent to Monta or to our employees are considered to be the property of Monta, and we will not agree to payment of any referral compensation or recruiter fee in the absence of a signed agreement.</em></p><p>Find out more by visiting <a href="https://monta.com/uk/careers/">https://monta.com/uk/careers/</a></p>

Monta is the operating platform powering the EV charging ecosystem serving drivers, companies, cities, and the electricity grid.

Staff Data Scientist

<p>KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures.</p><p>KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors.</p><p>Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methods</p><p>KoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP.</p><p><strong>About the position:</strong></p><p>At KoBold we believe that a modern ML stack will enable systematic mineral exploration and materially improve the success rate. This role is a key ingredient to this strategy. As a member of our software engineering team, you will apply software engineering and machine learning to large remote-sensing datasets in order to build scalable ML systems to help make high-speed, high-quality decisions for our mineral exploration projects. Collaborating with our exceptional team of data scientists and geologists, you will tackle complex scientific problems head-on and collectively pave the way for discoveries of vital energy transition metals like lithium, copper, nickel, and cobalt. Together we can shape the future of mineral exploration and contribute to building a sustainable world.</p><p>Responsibilities of this role include:</p><ul><li>Architect, implement, and maintain foundational scientific computing libraries that will be used in Kobold’s mineral exploration analyses.</li><li>In collaboration with other engineers, build ML tooling to increase the velocity of our machine learning progress, including enabling rapid prototyping in Jupyter notebooks; building experimentation, evaluation, and simulation frameworks; turning successful R&amp;D into robust, scalable ML pipelines; and organizing models and their outputs for repeatability and discoverability.</li><li>In collaboration with data scientists, build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.</li><li>Apply–and coach team members to use–engineering best practices such as writing testable and composable code</li><li>Collaborate with data scientists, geoscientists and engineers to invent the modern scientific computing stack for mineral exploration</li></ul><p><strong>Qualifications</strong></p><p>Our ideal candidate will have:</p><ul><li>At least 5 years of experience as a software engineer, data scientist or ML engineer, though most great candidates will have closer to 10. Recent bachelor’s/master’s candidates are unlikely to be competitive.</li><li>Track record of building production ML solutions or tooling that have delivered business value</li><li>Proficiency with foundational concepts of ML</li><li>Proficiency in Python, ideally including array-based packages such as xarray and numpy</li><li>Proficiency in a variety of parallel computing patterns, for example using distributed computing frameworks such as Dask</li><li>Flexibility to engage with data scientists and increase their productivity for both experimental and production workflows </li><li>An open-mind and curious attitude to learn and embrace the unique challenges of applying machine learning to mineral exploration, such as limited groundtruth data, complex quality metric design, and difficulties to create generalizable models</li><li>Collaborative attitude to work with stakeholders with different backgrounds (data scientists, geoscientists, software engineers, operations)</li></ul><p>Work practices and motivation:</p><ul><li>Ability to take ownership and responsibility of large projects.</li><li>Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Open to working directly with geologists in the field. Enjoys constantly learning such that you are driving insights and innovations.</li><li>Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers. A strong communicator who enjoys working with colleagues across the company.</li><li>Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.</li><li>Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.</li><li>Ability to independently prioritize multiple tasks effectively.</li></ul><p> </p><p>KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, marital status, disability, or veteran status.</p><p>The US base salary range for this full-time exempt position is $190,000-$250,000.</p><p>Location: Remote, Candidates can be located anywhere in the United States or Canada. All candidates must be legally authorized to work in the United States or Canada.</p><h3><strong> </strong></h3><h3><strong> </strong></h3>

AI-powered KoBold Metals® is revolutionizing electrification and combatting climate change with breakthrough discoveries and top-tier industry talent.

Staff ML Engineer

<p>KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures.</p><p>KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors.</p><p>Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methods</p><p>KoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP.</p><p><strong>About the position:</strong></p><p>At KoBold we believe that a modern ML stack will enable systematic mineral exploration and materially improve the success rate. This role is a key ingredient to this strategy. As a member of our software engineering team, you will apply software engineering and machine learning to large remote-sensing datasets in order to build scalable ML systems to help make high-speed, high-quality decisions for our mineral exploration projects. Collaborating with our exceptional team of data scientists and geologists, you will tackle complex scientific problems head-on and collectively pave the way for discoveries of vital energy transition metals like lithium, copper, nickel, and cobalt. Together we can shape the future of mineral exploration and contribute to building a sustainable world.</p><p>Responsibilities of this role include:</p><ul><li>Architect, implement, and maintain foundational scientific computing libraries for distributed processing of large-scale geospatial rasters, to be used in Kobold’s mineral exploration analyses.</li><li>In collaboration with other engineers, build tooling to increase the velocity of our machine learning progress on geospatial raster data, including enabling rapid prototyping in Jupyter notebooks; build experimentation, evaluation, and simulation frameworks; turning successful R&amp;D into robust, scalable ML pipelines; and organizing models and their outputs for repeatability and discoverability.</li><li>In collaboration with data scientists, build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.</li><li>Apply–and coach team members to use–engineering best practices such as writing robust, testable and composable code</li><li>Collaborate with data scientists, geoscientists and engineers to invent the modern scientific computing stack for mineral exploration</li></ul><p><strong>Qualifications</strong></p><p>Our ideal candidate will have:</p><ul><li>At least 5 years of experience as a software engineer, data scientist or ML engineer, though most great candidates will have closer to 10. Recent bachelor’s/master’s candidates are unlikely to be competitive.</li><li>Track record of building production quality data processing solutions or tooling that have delivered business value</li><li>Proficiency with foundational concepts of ML, including statistical, traditional and deep-learning approaches</li><li>Proficiency in Python, ideally including array-based packages such as xarray and numpy</li><li>Proficiency in scaling complex data operations across distributed computing resources, using tools such as Spark or Dask</li><li>Drive to increase the velocity and effectiveness of our data scientists in both experimental and production workflows </li><li>Capacity to dive deep on novel challenging problems in applying ML to mineral exploration, including understanding a complex domain of geology and mineral exploration practices as well as working with limited, disparate and noisy data sources </li><li>Collaborative attitude to work with stakeholders with different backgrounds (data scientists, geoscientists, software engineers, operations)</li><li>Experience with multispectral remote-sensing data from a variety of sources</li></ul><p>Work practices and motivation:</p><ul><li>Ability to take ownership and responsibility of large projects.</li><li>Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Open to working directly with geologists in the field. Enjoys constantly learning such that you are driving insights and innovations.</li><li>Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers. A strong communicator who enjoys working with colleagues across the company.</li><li>Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.</li><li>Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.</li><li>Ability to independently prioritize multiple tasks effectively.</li></ul><p> </p><p>KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, marital status, disability, or veteran status.</p><p>The US base salary range for this full-time exempt position is $190,000-$260,000.</p><p>Location: Remote, Candidates can be located anywhere in the United States or Canada. All candidates must be legally authorized to work in the United States or Canada. </p><h3><strong> </strong></h3><h3><strong> </strong></h3>

Staff ML Engineer, Remote Sensing

<div>This is an opportunity to join the Software Systems Engineering team to participate in building the Zoox robotaxi, the first in the world that has operated on public roads. The Software Systems Engineering team is responsible for defining SW development processes and ensuring that all safety-critical software meets a high safety bar for production vehicles.</div><div><br></div><div>In this role, you will collaborate with the software and safety team to ensure the developed software meets the targeted integrity level. The focus of this role will be on software architecture and systems engineering activities of Robot’s AI software applications, middleware and driver components.</div><div><br></div><br><br><h3>In this role, you will</h3><ul><li>Form and lead a cross functional SW architecture committee for </li><li>Set up process/templates to enforce industry standards and best practices for developing and maintaining SW components using Linux/C/C++/GPU/AI Applications</li><li>Evaluate the existing SW architecture and providing guidance/suggestions to improve safety, reliability and performance</li><li>Set up a Change Control Board and develop relevant change management process/templates for handling the architecture level changes across different systems/subsystems</li><li>Work with cross functional teams to review/approve/reject architecture level changes</li><li>Introduce SW Architecture best practices such as modularity, flexibility and scalability and ensuring their effective implementation into Zoox’s workflows</li></ul><h3>Qualifications</h3><ul><li>12+ years of industry experience in architecting/developing  scalable/distributed/complex applications using C/C++ in Linux Environment</li><li>Exposure to different communication protocols and standards, open source communication frameworks</li><li>Exposure in developing software using different processor architectures like X86, ARM, Other microcontrollers</li><li>Exposure to GPU/Accelerated computing environments. Exposure to high performance, distributed and resource constrained SW systems development</li><li>Familiar and Hands on experience in using industry best practices in the area of change management and configuration management </li></ul><h3>Bonus Qualifications</h3><ul><li>Exposure to various operating systems including Real Time Operating Systems and architectures</li><li>Hands on experience with industry standard tools (Ex:MagicDraw, Enterprise architect, etc) for SW Systems Engineering</li><li>Exposure to SW System Engineering best practices and standards (Ex: ASPICE, DO-178B/C, ISO 26262)</li><li>Exposures to software development processes for Safety Critical Applications</li><li>Exposure to Autonomous vehicle development</li></ul><br><div>There are three major components to compensation for this position: pay, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The pay range for this position is $204,000 to $294,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The pay range listed in this posting is representative of the range of levels Zoox is considering for this position.</div><div><br></div><div>Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div><div><br></div><div><br></div><div><b>About Zoox</b></div><div>Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div><br></div><div><a href="https://www.linkedin.com/company/zoox-inc">Follow us on LinkedIn</a></div><div><br></div><div><b>Accommodations</b></div><div>If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div><br></div><div><b>A Final Note:</b></div><div>You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</div>

Staff Software Systems Engineer - Software Architecture

<div><p>Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments in brick-and-mortar grocers. With our Fresh Operating System, regional and national grocery retailers have placed $1.6 billion in produce orders across the US and we've helped our partners prevent 34 million pounds of food from going to waste. Working at Afresh represents a one-of-a-kind opportunity to have massive social impact at scale by leveraging uncommonly impactful software – we hope you'll join us!</p></div><div><p><strong>About the Role</strong></p><p>The Prediction, Optimization, and Planning (POP) team builds Afresh's core replenishment technology. Our AI models are directly responsible for ordering millions of dollars of fresh inventory across the world every day. Fresh food ordering is an extremely complex high-dimensional decision-making problem. We face the complex challenges presented by decaying product, uncertain shelf lives, varying consumer demand, stochastic arrival times, extreme weather events, and tight performance constraints (to name a few). We tackle these problems with a mix of machine learning, large-scale simulation, and optimization technologies. Our team has presented work at multiple industry leading conferences, and we encourage team members to write and present their work publicly.</p><p>As an Applied Scientist at Afresh focused on forecasting, you will take your existing knowledge of machine learning and apply it to the challenge of demand forecasting. You will thrive in this role if you love the craft of neural networks in research and production environments: hyperparameter optimization, model tuning, feature selection, thorough error analysis, architecture selection, and deep understanding of the data you are modeling. We are looking for someone who is equally adept at gaining insights from 8 hours of data analysis or 8 hours of reading papers. </p><p>Your will research, implement, and rigorously validate improvements to our core forecasting system. This will include modeling seasonal demand, rare events, promotion cannibalization, and aggregating correlated demand across multi-echelon systems. Your work will be visible from day one, will make a substantial impact on decreasing food waste, and will lead to fresher, healthier produce for millions of people across the world.</p><ul><li>You will work on improving the accuracy and calibration of the demand forecasting models that power our warehouse-level and store-level ordering products. You will also lead research development for new product and business challenges.</li><li>In your first 3 months, you will acquire a comprehensive understanding of our current forecasting system and modern neural network approaches to time-series forecasting. You will gain proficiency in our data manipulation, transformation, and forecasting tools, and you'll test an experimental improvement to our demand forecasting system.</li><li>By the end of your first 6 months, you will have proposed, implemented, and rigorously validated an improvement to our forecasting system.</li><li>By the end of your first year, you will have led the implementation of fundamental changes to our core forecasting system and led research into forecasting extensions (multi-echelon forecasting, rare event modeling). </li><li>We need to make optimal ordering decisions for millions of items for weeks at a time, and our system must be fault-tolerant to an extreme. Our partners rely on our system to order millions of dollars of inventory every week, and so your code must be rigorously validated, tested, and bug-proof.</li></ul><p><strong>Skills and Experience</strong></p><ul><li>5+ years of industrial or academic experience building mission-critical machine learning systems. </li><li>Excellent communication and presentation skills. You should be able to explain complex mathematical ideas to product teams in plain English.</li><li>5+ years of experience in neural network libraries (Pytorch/Tensorflow/JAX). Proficiency in Pytorch preferred, or willingness to transition from Tensorflow/JAX. </li><li>Fluent in programmatic data analysis using SQL and Pandas.</li><li>Excellent data visualization skills.</li></ul><p><em>Salary Band:<br></em><em><br></em></p></div><div><p><strong>About Afresh</strong><br><br>Founded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we're helping grocers provide fresher food to customers at more affordable prices. <br><br>Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals including ICML, and we've raised over $148 million in funding from investors including former co-CEO of Whole Foods Market Walter Robb and Eric Schmidt's Innovation Endeavors.</p><p>Fresh is the past, present, and future of our food system – the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company’s values of proactivity, kindness, candor, and humility. <br><br>Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law.</p><p><strong>Here at Afresh, many of our employees work remotely provided that they reside in one of the following states: AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, WI. However, there may be key roles that will require a candidate/employee to be local to our San Francisco, CA office. In which case this requirement will be included in the job posting details under "Skills and experience" for reference. </strong></p></div>

Reducing food waste, increasing access to nutritious food globally. Optimizing grocery industry with AI-powered solutions.

Staff Applied Scientist - Forecasting

<div><div><div><div><div><p><span style="font-family:helvetica , arial , sans-serif;font-size:12pt;"><strong>About Redwood Materials</strong></span></p><div><span style="font-family:helvetica , arial , sans-serif;font-size:12pt;">Redwood Materials was founded in 2017 to create a circular supply chain for electric vehicles and clean energy products, making them more sustainable and driving down the cost for batteries. We’re doing this by developing and deploying new technologies to increase the scope and scale of recycled and sustainable materials in the global battery supply chain.</span></div></div></div></div></div></div><p><strong><span>Staff Data Scientist</span></strong><span> </span></p><p><span>Redwood Materials is looking for talented data scientists and machine learning engineers to work on several special projects which involve making real world inferences based on complex sensor and imagery data. Some examples of this data are x-ray scans, 3d imaging, and spectrometry data. This role will require creativity, thoughtfulness, and engineering intuition to extract features and build models that identify and predict physical phenomena.</span><span> </span></p><p><span>This is an opportunity to join during a critical growth phase and build green field software which is critical to the technical growth and scaling of the company.</span><span> </span></p><p><span><strong>Responsibilities will include:</strong></span></p><ul><li><span>Leading technical teams, managing project requirements and timelines</span><span> </span></li><li><span>Deploying machine learning/data pipelines to cloud infrastructure</span><span> </span></li><li><span>Designing robust cloud architecture for machine learning projects</span><span> </span></li><li><span>Utilizing your experience in a physical engineering discipline, physics, or strong intuition around modeling mechanical/electrical/chemical/high-energy radiation processes</span><span> </span></li></ul><p><strong><span>Desired qualifications:</span></strong><span> </span></p><ul><li><span>Bachelor’s degree in Computer Science, an Engineering discipline, or equivalent practical experience. </span></li><li>Strong software architecture and coding skills. We are looking for folks capable of developing and deploying pipelines and writing clean, maintainable code, much of which will be used in production.</li><li>5 years of in-depth experience working with classical machine learning methods (trees, clustering, SVM, ability to blend techniques and pick the right tool for the job), 4 years of professional software development experience.</li><li>Ability to implement algorithmic machine learning-esque models for problems that are not solved well by standard/textbook machine learning techniques.</li><li>Strong experience with Python, Pandas, scikit-learn, relational databases, Linux, working in cloud environments. <span> </span></li></ul><p><span> </span><span>The position can be remote with occasional travel or in-person at our headquarters in Carson City, Nevada.</span><span> </span></p><p><span> </span></p><p><span> </span></p><div><p><span style="font-size:12pt;font-family:helvetica , arial , sans-serif;">The position is full-time. Compensation will be commensurate with experience.</span></p><p> </p><p><span style="font-size:12pt;">We collect personal information (PI) from you in connection with your application for employment with Redwood Materials, including the following categories of PI: identifiers, personal records, professional or employment information, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment. If you have additional privacy-related questions, please contact us at privacy@redwoodmaterials.com.</span></p></div>

Innovating sustainable battery production with closed-loop supply chain and local manufacturing for eco-friendly impact.

Staff Data Scientist 

<div><span style="font-size:11pt;">Ride and Fleet Services is looking for a Senior/Staff Software Engineer to help build and optimize a robust platform that orchestrates the Zoox robotaxi service. This service includes a series of mission critical APIs that require a high level of resilience as they serve both internal and external users and our fleet of autonomous vehicles.</span></div><div><br></div><div><span style="font-size:11pt;">If you are a natural optimizer and care deeply about building resilient services, you will excel in this role. We need engineers to identify impactful opportunities, execute on them and measure impact. You will need to be able to operate with a high level of detail to root cause errors and latencies, while also maintaining awareness of overall system architecture.</span></div><br><br><h3>In this role, you will:</h3><ul><li>Use existing monitoring, observability and stress-test tools to identify performance improvements and help implement them.</li><li>Iteratively improve monitoring and observability as our traffic grows.</li><li>Work closely with our Site Reliability Engineering team to optimally configure our services.</li><li>Identify key reliability risks and propose solutions to reduce them.</li><li>Work with our Security team to improve our security posture by managing dependencies, developing strong security practices and resolving identified issues.</li><div><br></div></ul><h3>Qualifications</h3><ul><li>Passionate about optimizing systems for maximum efficiency and resilience.</li><li>Extensive experience with design and implementation of backend services.</li><li>Experience with Kotlin or Java, Python, REST APIs and SQL.</li><li>Knowledge of Kubernetes and Docker.</li><li>Deeply cares about monitoring and diagnosing issues of production systems.</li><div><br></div></ul><h3>Bonus Qualifications</h3><ul><li>Experience with Spring Boot based microservice architectures, PostgreSQL, Kafka, Elasticsearch, Kubernetes or Docker.</li><li>Recent experience in programming languages such as Python or Kotlin.</li><li>Experience with event driven architecture and Kafka.</li><div><br></div><div><br></div></ul><br><div><b>Compensation:</b></div><div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $203,000 to $293,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.</div><div> </div><div>Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div><div><br></div><div><b>About Zoox</b></div><div>Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.</div><div><br></div><div><a href="https://www.linkedin.com/company/zoox-inc">Follow us on LinkedIn</a></div><div><br></div><div><b>Accommodations</b></div><div>If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.</div><div><br></div><div><b>A Final Note:</b></div><div>You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.</div>

Senior/Staff Software Engineer, Ride & Fleet Services - Platform

<p><strong>Posting Title</strong></p><p>Postdoctoral Researcher – Industrialized Construction Innovation</p><p>.</p><p><strong>Location</strong></p><p>CO - Golden</p><p>.</p><p><strong>Position Type</strong></p><p>Postdoc (Fixed Term)</p><p>.</p><p><strong>Hours Per Week</strong></p><p>40</p><p>.</p><p><strong>Working at NREL</strong></p><p>The National Renewable Energy Laboratory (NREL), located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for research and development of renewable energy and energy efficiency technologies.</p><p>From day one at NREL, you’ll connect with coworkers driven by the same mission to save the planet. By joining an organization that values a supportive, inclusive, and flexible work environment, you’ll have the opportunity to engage through our ten employee resource groups, numerous employee-driven clubs, and learning and professional development classes.</p><p>NREL supports inclusive, diverse, and unbiased hiring practices that promote creativity and innovation. By collaborating with organizations that focus on diverse talent pools, reaching out to underrepresented demographics, and providing an inclusive application and interview process, our Talent Acquisition team aims to hear all voices equally. We strive to attract a highly diverse workforce and create a culture where every employee feels welcomed and respected and they can be their authentic selves.</p><p><strong>Our planet needs us! Learn about NREL’s critical objectives,</strong>  and   <strong>see how NREL is focused on saving the planet.</strong></p><p><strong>Note: Research suggests that potential job seekers may self-select out of opportunities if they don't meet 100% of the job requirements. We encourage anyone who is interested in this opportunity to apply. We seek dedicated people who believe they have the skills and ambition to succeed at NREL to apply for this role.</strong></p><p><strong>Job Description</strong></p><p>The Communities and Urban Science Research Group in the Building Technologies and Science Center at NREL conducts research related to building and district energy efficiency, built environment decarbonization, resilience, and community sustainability. We work with communities to deploy affordable strategies and energy-efficient building technologies that meet the community's needs and sustainability goals. Our work enables the NREL vision of a clean energy future for the world.</p><p>Our team members represent diverse disciplines and backgrounds, as diversity of experience, perspective, and expertise is needed to solve the climate challenges of today and tomorrow. We are engineers, scientists, researchers, managers, and visionaries dedicated to leading innovation for a clean energy economy.</p><p>We are seeking a highly motivated and skilled Postdoctoral Researcher to join our team to push the frontiers of industrialized construction to cater to volume production of next-generation energy-efficient buildings, while simultaneously contributing to decarbonization of the construction sector. The successful candidate will explore how emerging technologies in computational building design like generative modeling, advanced manufacturing methods like robotics, and supply chain innovations like distributed manufacturing can augment industrialized construction to accelerate decarbonization of the construction sector. We seek candidates who can synthesize literature and translate use cases in scaling industrialized construction to address real-world problems like increasing energy efficiency, renewables integration, electrification, and grid friendliness in the construction sector.</p><p>Candidates should have foundational knowledge in building design engineering, applied knowledge in advanced manufacturing for building component and assembly manufacturing, and macroeconomic understanding of the construction supply chain.</p><p>We welcome candidates from a variety of backgrounds, including but not limited to building design engineering, construction management, engineering design, production engineering, advanced manufacturing, and industrial engineering. . This position offers a unique opportunity to contribute to cutting-edge research at a national laboratory shaping the future of high-efficiency industrialized construction practices to produce and construct next-generation buildings.</p><p>Under the general direction of senior staff, the postdoctoral researcher will:</p><ul><li><p>Contribute to the design and development of next-generation building systems and components, including panelized envelope systems; unitized mechanical, electrical, and plumbing assemblies; integrated power generation; and storage and distribution systems, including grid-interactive smart sensors and meters.</p></li><li><p>Utilize advanced 3D modeling and analysis tools for development and multidisciplinary performance testing of modularized building systems, components, and assemblies.</p></li><li><p>Collaborate with interdisciplinary teams to integrate cutting-edge building materials and systems innovations into building prototypes.</p></li><li><p>Investigate advanced manufacturing techniques including assembly line modernization, robotic fabrication, robotic process automation, on-site robotic construction, and additive concrete construction suitable for volume production of affordable energy-efficient next-generation buildings.</p></li><li><p>Utilize simulation tools for testing and optimizing optimal integration of advanced manufacturing technologies into construction processes.</p></li><li><p>Utilize machine learning-powered predictive analysis tools to identify potential supply chain bottlenecks associated with scaling production of next-generation building systems and components.</p></li><li><p>Address challenges related to building code compliance, inspection, and certification while integrating off-site prefabrication, and on-site automation in construction processes.</p></li><li><p>Utilize life cycle analysis to assess the environmental impact of proposed innovations across the industrialized construction supply chain.</p></li></ul><p>.</p><p><strong>Basic Qualifications</strong></p><p>Must be a recent PhD graduate within the last three years.</p><p><strong>* Must meet educational requirements prior to employment start date.</strong></p><p><strong>Additional Required Qualifications</strong></p><ul><li><p>Recent Ph.D. graduate within the last three years.</p></li><li><p>Ph.D. in Architecture, Architectural Engineering, Civil Engineering, Mechanical Engineering, Industrial Engineering, Construction Management, or a related field.</p></li><li><p>Foundational knowledge about building systems design, fabrication, and construction.</p></li><li><p>Proficiency in 3D modeling, building performance analysis, and/or life cycle assessment.</p></li><li><p>Exposure to construction simulations, process modeling, and optimization.</p></li><li><p>Knowledge of advanced manufacturing and fabrication techniques.</p></li><li><p>Familiarity/interest in handling advanced fabrication and manufacturing machinery.</p></li><li><p>Interest in exploring robot programming, computer vision sensing, programming, and prototyping.</p></li><li><p>Publication record and ability to lead innovative research projects.</p></li><li><p>Excellent communication skills and a collaborative mindset to work with large multi-disciplinary teams.</p></li></ul><p><strong>Preferred Qualifications</strong></p><p>.</p><p><strong>Job Application Submission Window</strong></p><p>The anticipated closing window for application submission is up to 30 days and may be extended as needed.</p><p><strong>Annual Salary Range (based on full-time 40 hours per week)</strong></p><p>Job Profile: Postdoctoral Researcher / Annual Salary Range: $73,200 - $120,800</p><p>NREL takes into consideration a candidate’s education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee’s salary history will not be used in compensation decisions.</p><p><strong>Benefits Summary</strong></p><p>Benefits include medical, dental, and vision insurance; short-term disability insurance<em>; pension benefits</em>; 403(b) Employee Savings Plan with employer match*; life and accidental death and dismemberment (AD&amp;D) insurance; personal time off (PTO) and sick leave; and paid holidays. NREL employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement.</p><p><strong>*</strong>  Based on eligibility rules</p><p><strong>Drug Free Workplace</strong></p><p>NREL is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug.</p><p>If you are offered employment at NREL, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn.</p><p><strong>Submission Guidelines</strong></p><p>Please note that in order to be considered an applicant for any position at NREL you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.</p><p>.</p><p><strong>EEO Policy</strong></p><p>NREL is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.</p><p>EEO is the Law (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm)  | Pay Transparency Nondiscrimination (https://www.dol.gov/ofccp/pdf/pay-transp_English_unformattedESQA508c.pdf)  |  <strong>Reasonable Accommodations (http://www.nrel.gov/careers/employment-policies.html)</strong></p><p><strong>E</strong>  <strong>-Verify</strong>    <strong>www.dhs.gov/E-Verify</strong>    <strong>For information about right to work, click here (http://www.justice.gov/sites/default/files/crt/legacy/2013/08/13/FinalOSCPosterEN08_01_2013.pdf)  for English or</strong>   <strong>here (http://www.justice.gov/crt/file/813271/download)  for Spanish.</strong></p><p>E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.</p>

Leading the way in renewable energy and efficiency, NREL fuels innovation for a cleaner and sustainable future.

Postdoctoral Researcher – Industrialized Construction Innovation

<div><a href="https://kraken.tech/" style="font-size:18px;">Kraken</a><span style="font-size:18px;"> powers some of the most innovative global developments in energy.</span></div><div><br></div><div><span style="font-size:18px;">We’re a technology company focused on creating a smart, sustainable energy system. From optimising renewable generation, creating a more intelligent grid and enabling utilities to provide excellent customer experiences, our operating system for energy is transforming the industry around the world in a way that benefits everyone.</span></div><div><br></div><div><span style="font-size:18px;">It’s a really exciting time in energy. Help us make a real impact on shaping a better, more sustainable future.</span></div><div><br></div><div><b style="font-size:18px;">Our team</b></div><div><span style="font-size:18px;">All technology is written and maintained by a multi-discipline engineering team of around 300 people globally. Our engineers work in ‘super teams’ which are focused on key areas of our platform as well as other innovative products. This also includes server-side, client-side and mobile engineers working closely with UX experts, copywriters and designers. </span></div><div><span style="font-size:18px;"> </span></div><div><span style="font-size:18px;">Teams are empowered to choose a way of working that works for them, often opting for a Kanban-like approach. Notion and Asana are then used to specify and manage work; Github, CircleCI and Terraform Enterprise as part of an immutable-infrastructure, continuous delivery pipeline; and Datadog, Sentry and Cloudwatch to measure performance and monitor production. </span></div><div><span style="font-size:18px;"> </span></div><div><span style="font-size:18px;">Some of our coding </span><a href="https://github.com/octoenergy/conventions" style="font-size:18px;">conventions are open-source</a><span style="font-size:18px;"> . </span></div><div><span style="font-size:18px;"> </span></div><div><span style="font-size:18px;">Kraken is a great place to learn, work with some talented engineers and level-up your skills.  </span></div><div><b style="font-size:18px;"> </b></div><div><b style="font-size:18px;">Our technology</b></div><div><span style="font-size:18px;">On the server-side, we mainly use Python. Most of our websites are powered by Django, Django-REST-framework and GraphQL (Graphene).  </span></div><div><span style="font-size:18px;"> </span></div><div><span style="font-size:18px;">We use AWS heavily  as part of a continuous deployment pipeline. See, for example, Django, ELB health checks and continuous delivery. </span></div><div><span style="font-size:18px;"> </span></div><div><span style="font-size:18px;">Client-side, we use React, htmx and SASS; our mobile apps are built using native code or React Native.</span></div><div><br></div><div><span style="font-size:18px;">The account journeys team is responsible for implementing and maintaining the code which enables customer journeys through Kraken, making life easier for both our staff and customers. By its very nature this involves domain modelling of complex real-life problems, in particular when considering that our systems need to cater for multiple territories worldwide. Could you write software that models a customer moving house, regardless of whether they are a broadband customer in the UK, or an energy customer in Australia?</span></div><div><br></div><div><span style="font-size:18px;">If translating complicated business problems into well architected software and general problem solving is something you enjoy, then this job might be for you. We are a small (currently four software engineers) team with equivalent teams in Kraken’s other operating regions, who we collaborate with regularly in building a truly global system. We are currently looking to grow our team by a mid-level engineer.</span></div><br><br><h3>What you'll do</h3><ul><li>We have lots of difficult design challenges to solve. The UK utilities market is complicated, outdated and process-heavy - there's an awful lot of domain modelling that we need to get right. Strong attention to detail is essential.</li><li>We have challenging technical problems to solve; like processing tens of millions of meter readings a day. We need the right technology in place to handle this smoothly as well as feeding data into a machine learning pipeline that models and predicts consumption. Or thinking about how we adapt Kraken to improve other utilities like water and broadband.</li><li>There's a great opportunity for disruption in the UK energy market. The big suppliers still dominate, but are not exactly popular. The energy landscape is changing as we move to more dis-aggregated forms of generation, with less predictability, more dynamism and smarter technology.</li><li>You'll be working for a company that’s fighting climate change. Our generation arm is the largest investor in solar generation in the UK, and is funding wind and anaerobic digestion. As a supplier, we're helping people to use greener technology and renewable energy, all helping move the UK towards a lower carbon future.</li></ul><h3>What you'll need</h3><ul><li>We're looking for someone with a general interest in technology and problem-solving; someone diligent and thoughtful. It would be helpful to have experience/expertise in the following (in rough priority order):</li><li>Python</li><li>Django (or equiv. web framework)</li><li>Domain modelling</li><li>HTTP and REST APIs</li><li>Writing robust and fault-tolerant software</li><li>Celery and async processing</li><li>Postgres</li><div><br></div><div>Plus experience in the following would be a bonus:</div><li>AWS</li><li>Terraform, Packer, Consul</li><li>React and Redux</li></ul><h3>Why else you'll love about us</h3><ul><li><b>Wondering what the salary for this role is? </b>Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit!</li><li>Octopus Energy is a <b>unique culture</b>. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We won <a href="https://www.b.co.uk/companies/octopus-energy">best company to work for</a> in 2022, on Glassdoor we we're voted <a href="https://www.glassdoor.co.uk/Award/Best-Places-to-Work-UK-LST_KQ0,22.htm">50 best places to work in 2022</a> and our Group CEO, Greg has recorded<a href="https://octopus.energy/blog/podcast/"> a podcast about our culture</a> and how we empower our people </li><li>Visit our perks hub - <a href="https://octopus.energy/octopus-employee-benefits/">Octopus Employee Benefits</a></li></ul><br><div>We would prefer someone who can work in our London office but will consider remote candidates. However, you do need to be able to work in the UK. </div><div><br></div><div><span style="font-size:14.6667px;">We're very excited to be growing our team. We're looking for skills and experience to help shape and define the future of not only our team, but the wider business at a global scale. If you're reading this and grinning, please apply! There are huge challenges to tackle, and we need amazing people who are keen to get stuck in.</span></div><div><br></div><div><b>If this sounds like you then we'd love to hear from you. </b></div><div><br></div><div>Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. <b>Need any specific accommodations? </b>Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customise your interview process for comfort and maximum magic!</div><div><br></div><div>Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.</div>

Revolutionizing energy with transparency, automation, and renewable generation. Backed by Octopus Energy, Origin, and Tokyo Gas

Backend Developer - Account Journeys

<h1>Company</h1><p>In order to keep climate change to 1.5°C, we’ll need 30% of global GDP (all of energy generation and transportation) to run on batteries by 2035.</p><p> </p><p>Zitara Technologies (YCombinator S20) builds predictive battery management software for transportation and energy customers with large deployments. Our customers operate &gt;$100M deployments of batteries in satellites, EVs, and renewable energy storage installations.</p><p> </p><p>Our team brings top researchers in physics-based battery algorithms together with seasoned software engineers to build safety-critical firmware and large scale machine learning systems. We bring with us decades of experience from companies like Tesla, Facebook, and Google.</p><h1>Role</h1><p>We're looking for a multidisciplinary software and simulation engineer who can draw from academic literature, practical engineering tools, and domain-specific data and models to design, analyze, and improve battery modeling and simulation software.</p><p> </p><p>Zitara's software spans cutting-edge battery science, high-performance data infrastructure, complex modeling and learning systems, and safety-critical onboard firmware.  We're looking for a software engineer who can work across these areas of expertise to build the algorithms behind our core technology.</p><p> </p><p>In this role, you will work closely with our battery scientists and controls engineers to refine and improve the robustness of scale up our simulation and prediction software.  You will also have the opportunity to work with our embedded team to adapt the algorithms you design for running in real-time battery management systems.</p><p> </p><h1>Responsibilities</h1><ul><li>Work with our battery scientists and controls engineers to identify and implement improvements in our simulation and signal processing algorithms</li><li>Write robust, well-tested signal processing, simulation, and optimization software in Python, Rust, and C / C++</li><li>Provide guidance and mentorship to the larger organization on system architecture, design for testability, and building maintainable software.</li><li>Design and communicate complex software architecture through written documentation and in-person discussion</li><li>Work with product and project management to scope and plan around development initiatives, and connect results to our customer-facing feature roadmap</li></ul><h1>Qualifications</h1><ul><li>7+ years of experience in writing profession Python software following modern best practices</li><li>Experience architecting simulation workflows, including efficient simulation engines, validation, visualization, and metrics aggregation software</li><li>BS, MS, or Ph.D in Computer Science, Chemistry / Chemical Engineering, Physics or other related engineering discipline.</li><li>Clear and effective written and interpersonal communication skills</li></ul><h1>Preferred Additional Qualifications</h1><ul><li>Experience with Kalman Filtering or other statistical methods</li><li>Practical implementation experience with numerical methods for differential equations</li><li>Experience with Rust</li><li>Experience with Bazel</li><li>Familiarity with battery or energy systems applications</li></ul><p> </p><p>Note: this position may be filled by a candidate either remote or hybrid in-person in our SF office. In-person candidates will be preferred, and remote candidates will need to demonstrate superlative organizational and communication skills.</p><h1>What We Offer</h1><ul><li>A full-time position, working from our office in San Francisco, CA or remotely.</li><li>Competitive pay.</li><li>Health, Dental, and Vision care for you and your family.</li><li>A 401k savings plan.</li><li>“Unlimited PTO” vacation policy.</li><li>Excellent colleagues that are interested in your happiness and growth.</li></ul><p> </p>

Zitara Technologies: Cloud-ready software empowering companies to optimize battery performance and enhance fleet operations.

Staff Simulation Software Engineer

<div><div><p><span style="font-weight:bold;"><span style="font-size:18px;">Professional Services Application Engineer - CLEAR Path</span></span><span style="font-weight:bold;"><span style="font-size:15px;">™</span></span></p><p><span style="font-size:15px;font-weight:300;">Cambridge, MA (Hybrid)</span><span style="font-size:15px;font-weight:300;"><br></span><span style="font-size:15px;font-weight:300;"><br></span><span style="font-weight:bold;"><span style="font-size:15px;text-decoration:underline;">About this position:</span></span><span style="font-size:15px;font-weight:300;text-decoration:underline;"><br></span><span style="font-size:15px;font-weight:300;">Context Labs is seeking a Professional Services Application Engineer to provide technical expertise supporting the deployment of our CLEAR Path™</span> <span style="font-size:15px;font-weight:300;">platform, built on our Immutably™ Data Fabric technology. This individual will provide subject matter expertise across multiple types of emerging greenhouse gas emissions avoidance or abatement projects (e.g., CCUS, hydrogen, forestry, etc.) serving as a critical bridge between our sales team, our customers, and our software engineering team. You will work directly with the engineering team, customer delivery team, and our clients to understand the customer needs, formulate solutions, and help them achieve their goals. This position will report to the Director of Professional Services within the Customer Experience Center of Excellence (COE). This position will report to the Manager of Professional Services and Application Engineering</span></p><p><br></p><p><span style="font-weight:bold;"><span style="font-size:15px;text-decoration:underline;">In this role you will:</span></span></p><ul><li><span style="font-size:15px;font-weight:300;">Actively interface between our customers and our software development teams to identify data needs and ensure all required data is ingested into our machine learning-based platform</span></li><li><span style="font-size:15px;font-weight:300;">Serve as a subject matter expert to support data analytics teams to perform advanced quantitative analysis of GHG emissions reductions and other project impacts</span></li><li><span style="font-size:15px;font-weight:300;">Create and manage customer delivery execution plans to ensure the deliverables are executed to the highest quality, on-time, and on-budget</span></li><li><span style="font-size:15px;font-weight:300;">Provide highly responsive customer service and maintain a high level of member satisfaction, proactively identifying and resolving issues before, during, and after implementation</span></li><li><span style="font-size:15px;font-weight:300;">Communicate effectively across a large matrix team to ensure sales, engineering, finance, leadership are suitably coordinated and informed</span></li><li><span style="font-size:15px;font-weight:300;">Build strong internal and external relationships with professionalism, courtesy, and positivity</span></li></ul><p><br></p><p><span style="font-weight:bold;"><span style="font-size:15px;text-decoration:underline;">Experience:</span></span></p><ul><li><span style="font-size:15px;font-weight:300;">The ideal candidate possesses 5+ years of experience in one of the following target industries to understand the mindset and needs of potential customers:</span><ul><li><span style="font-size:15px;font-weight:300;">Energy Transition (Hydrogen/CCUS/Grid Modernization)</span></li><li>Voluntary Carbon Markets/Carbon Offset Projects</li><li>Carbon Accounting and associated Audit Services</li></ul></li></ul><ul><li><span style="font-size:15px;font-weight:300;">Bachelor’s degree in engineering (process/process safety, environmental engineering/environmental science, facilities/operations) or similar related field</span></li><li><span style="font-size:15px;font-weight:300;">Significant experience in CCUS, hydrogen, forestry, and/or other carbon reduction projects with the ability to thoroughly understand bottom-up and top-down process flows would be a strong advantage</span></li><li><span style="font-size:15px;font-weight:300;">Ability to efficiently research and synthesize information from a broad range of sources in a rapidly evolving environment to understand and adapt best-in-class approaches to carbon reduction, new project types, and methodologies for creation of carbon credits/offsets to deliver results to customers.</span></li><li><span style="font-size:15px;font-weight:300;">Outstanding organizational skills. Able to effectively manage multiple, complex projects at once in a fast-paced environment, and maintain positive, collaborative relationships to interface effectively with multiple internal and external parties</span></li><li><span style="font-size:15px;font-weight:300;">Proven ability to take initiative and produce results and a strong ability to collaborate with a diverse team of technical and business staff</span></li><li><span style="font-size:15px;font-weight:300;">Experience with the Microsoft Office Suite and Project Scheduling Tools (Microsoft Project, Primavera P6, SmartSheet, or similar)</span></li></ul><ul><li><span style="font-size:15px;font-weight:300;">Subject to safe travel conditions, must be willing to travel periodically to field locations (&lt;25%)</span></li></ul><p><br></p><p><span style="font-weight:bold;"><span style="font-size:15px;text-decoration:underline;">Preferred Experience:</span></span></p><ul><li><span style="font-size:15px;font-weight:300;">Project Management Certification (PMI or equivalent) is a plus</span></li></ul><ul><li><span style="font-size:15px;font-weight:300;">Any experience with end-to-end software application architecture or RESTful API integration would be viewed favorably but not required</span></li></ul><p><br></p><p><span style="font-weight:bold;"><span style="font-size:15px;text-decoration:underline;">Why you’ll like it here:</span></span></p><ul><li><span style="font-size:15px;font-weight:300;">Context Labs is collaborative at its core. You’ll work within your team and across the organization allowing for continuous learning and discovery.</span></li><li><span style="font-size:15px;font-weight:300;">We set goals that matter and provide value in all that we do, from building meaningful products to positively impacting carbon reduction and climate change.</span></li><li><span style="font-size:15px;font-weight:300;">Context Labs’ mission is to transform complex data into continuously proven information. Powered by Immutably</span><span style="color:#1d1c1d;font-size:15px;font-weight:300;">™</span><span style="font-size:15px;font-weight:300;">, an innovative, trusted data fabric platform, our integrated solutions deliver context-driven insights that enable human networks to spot patterns, correlate trends - and reveal the ground truth hidden inside the world’s most complicated, persistent problems.</span></li></ul><p><br></p><p><span style="font-size:15px;font-weight:300;">We understand that applying for a job can be intimidating. Applicants rarely meet every single job requirement, and we know there are many skills and backgrounds that will contribute to success in this role. If you’re interested in applying, please do so.</span></p><p><br></p><p><span style="font-size:15px;font-weight:300;">Context Labs embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our products will be. Context Labs will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please contact Erica Mackoff at HR@contextlabs.com.</span></p><p><span style="font-size:15px;font-weight:300;"> </span></p><p><span style="font-weight:bold;"><span style="color:#222222;font-size:15px;">Who we are:</span></span></p><p><span style="color:#222222;font-size:15px;font-weight:300;">Context Labs solves big global problems by elevating trust in data. Our Immutably™ Platform solutions enable individuals, companies, and governments to produce data-driven insights that can be irrefutably trusted and verified. While the technology has broad application, our main focus is on climate initiatives that move the needle.We're a rapidly growing team of creative problem-solvers that leverage disruptive technology to crack the world's fundamental “too hard” challenges (such as decarbonization and water/food security). Do you want to have an impact working with smart, passionate people that push themselves, support each other and celebrate wins as a team? Join us.</span></p><p><br></p><p><span style="font-size:15px;font-weight:300;">We are a team that is hiring and growing! Learn more about Context Labs here:</span></p><p><a href="http://www.contextlabs.com/"><span style="font-size:15px;font-weight:300;">www.contextlabs.com</span></a></p></div></div>

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