<p>Jua.ai - Accuracy beyond expectation. Use beyond belief. The world's first end to end deep learning model for weather forecasting, delivered on an intuitive platform for anyone to customise it. Startups, governments and large companies alike can now develop global, high frequency and high accuracy weather models within days.</p>
<p>Jua’s mission is focused on achieving artificial general intelligence (AGI) through a deep exploration of physics, the universe, and their interaction with the human civilisation. We are initially building the world's largest AI weather forecasting model so far and - to our knowledge - the first truly end to end one. This will help energy companies deal with weather volatility by way of significantly better and faster prediction as well as much more flexible extrapolation of insights.</p>

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"Revolutionizing climate prediction with AI-driven, high-accuracy weather forecasting models for a sustainable future."

<div><h3>Overview</h3><p>Jua's mission is to create artificial general intelligence (AGI). Our product uses a foundational Earth systems model to predict atmospheric events. It’s more accurate, faster, and updates more frequently than current weather models, making it valuable for traders in weather-dependent power markets. These benefits are crucial during extreme weather events like hurricanes and cyclones. As we scale the model, more applications will become possible, including wildfire, flood, and vegetation prediction.<br><br>By joining our talented multidisciplinary team, you'll help shape our culture of ambition, transparent communication, and rapid iteration. We offer exciting challenges, creative freedom, fair pay, and generous stock options.</p></div><h3>What we are looking for</h3><p>We are seeking a highly skilled and experienced Meteorologist to join our team. The ideal candidate will have a strong background in meteorology and energy trading, be proficient in Python, and possess excellent statistical and communication skills. The ability to work independently and evaluate the performance of our models with a focus on the energy markets is essential.</p><h3>Responsibilities and Tasks</h3><ul><li><p>Evaluate the forecast accuracy of our weather models using weather stations and gridded data</p></li><li><p>Work closely with data scientists to incorporate meteorological insights into comprehensive foundation modelling</p></li><li><p>Identify relevant weather extreme cases and conduct detailed meteorological case studies, particularly focusing on extreme weather events and their implications on energy markets</p></li><li><p>Communicate complex meteorological concepts and findings to internal stakeholders, customers and non-technical audiences clearly and concisely</p></li></ul><h3>Need-to-have</h3><ul><li><p>Previous experience working with energy market data and understanding its dynamic</p></li><li><p>Proven experience in conducting meteorological case studies and analysis</p></li><li><p>Proficiency in Python, experience working with xarray and large zarr files (&gt; TBs)</p></li><li><p>Strong understanding of deterministic and probabilistic forecast error metrics and their application in meteorology</p></li><li><p>Ability to work independently and manage projects without requiring support from developers or data engineer</p></li><li><p>Excellent verbal and written communication skills</p></li><li><p>An advanced degree in Meteorology, Atmospheric Science, or a related field</p></li></ul><h3>Nice-to-have</h3><ul><li><p>Experience with machine learning techniques and their application in weather forecasting</p></li><li><p>Understanding of weather forecasting markets e.g. numerical weather prediction and rise of AI weather forecasting</p></li></ul><div><p>At Jua, we foster a performance culture and value people who embody our beliefs of service and adventure. We prioritize agility, operating at the highest clock speed to adapt quickly to change. We innovate on behalf of our users and leverage data supremacy to maintain our competitive edge. Through clear communication and fact-based decision-making, we ensure alignment in our pursuit of excellence. With these principles, we aim to create a customer-focused, value-centric organization that sets new standards in the industry. We value the unique perspectives that each individual brings to the table and believe that embracing diverse backgrounds and experiences enriches our collective journey towards growth and success.</p></div>

Meteorologist

<div><h3>Overview</h3><p>Jua's mission is to create artificial general intelligence (AGI). Our product uses a foundational Earth systems model to predict atmospheric events. It’s more accurate, faster, and updates more frequently than current weather models, making it valuable for traders in weather-dependent power markets. These benefits are crucial during extreme weather events like hurricanes and cyclones. As we scale the model, more applications will become possible, including wildfire, flood, and vegetation prediction.<br><br>By joining our talented multidisciplinary team, you'll help shape our culture of ambition, transparent communication, and rapid iteration. We offer exciting challenges, creative freedom, fair pay, and generous stock options.</p></div><h3><strong>Responsibilities and tasks</strong></h3><ul><li><p>Developing and improving scalable ETL pipelines in the cloud</p></li><li><p>Loading, processing, normalizing and providing various data types, from point data such as sensor measurements to raster data such as satellite or radar</p></li><li><p>Developing and improving an extensible data warehouse as the heart for weather modeling</p></li><li><p>Ensuring Performance, robustness and high availability</p></li><li><p>Development of interfaces for the exchange of data from a wide variety of applications</p></li><li><p>Testing, validating, visualizing and documenting new approaches and their performance</p></li></ul><h3><strong>Need-to-have</strong></h3><ul><li><p>M.Sc. in computer science, GIS or equivalent experience in data engineering</p></li><li><p>at least 2 years of professional experience in the field of data engineering</p></li><li><p>You are familiar with ETL pipelines, know the common database systems and have experience with common ETL libraries</p></li><li><p>Some experience with distributed systems and various cloud providers</p></li><li><p>You are proficient in Python, as well as at least one other modern/mainstream programming language (C/C++, Java, Julia or Go)</p></li><li><p>You can develop solutions independently based on targets and have experience with agile work </p></li><li><p>Experience with GIS-based data such as satellite, radar or radiosondes</p></li><li><p>Experience in handling large amounts of data (&gt;1TB)</p></li><li><p>You have experience and interest in the development of the idea, from a prototype to the finished product</p></li><li><p>You appreciate the values ​​of an open feedback culture and transparency</p></li></ul><div><p>At Jua, we foster a performance culture and value people who embody our beliefs of service and adventure. We prioritize agility, operating at the highest clock speed to adapt quickly to change. We innovate on behalf of our users and leverage data supremacy to maintain our competitive edge. Through clear communication and fact-based decision-making, we ensure alignment in our pursuit of excellence. With these principles, we aim to create a customer-focused, value-centric organization that sets new standards in the industry. We value the unique perspectives that each individual brings to the table and believe that embracing diverse backgrounds and experiences enriches our collective journey towards growth and success.</p></div>

Senior Geospatial Data Engineer

<div><h3>Overview</h3><p>Jua's mission is to create artificial general intelligence (AGI). Our product uses a foundational Earth systems model to predict atmospheric events. It’s more accurate, faster, and updates more frequently than current weather models, making it valuable for traders in weather-dependent power markets. These benefits are crucial during extreme weather events like hurricanes and cyclones. As we scale the model, more applications will become possible, including wildfire, flood, and vegetation prediction.<br><br>By joining our talented multidisciplinary team, you'll help shape our culture of ambition, transparent communication, and rapid iteration. We offer exciting challenges, creative freedom, fair pay, and generous stock options.</p></div><h3><strong>What we’re looking for</strong></h3><p>As a Senior Full-Stack Engineer, you will lead the development of our web application prototypes and the underlying server infrastructure. We’re looking for someone who thrives in a fast-paced environment, loves the challenge of building from scratch, and has a knack for turning ideas into working prototypes. You should be driven by a hacker's spirit to find innovative, effective solutions quickly.</p><p>We’re productionising our machine learning weather forecasting system that outperforms leading numerical models in speed, precision and accuracy. Most of our stack runs on Google Cloud. We use modern, type-safe Python with some of the latest web-, machine learning and numerical libraries: FastAPI, Pytorch, Dask, Xarray, and Pulumi for infrastructure as code.<br><br><strong>Location:</strong> Although this is a remote job only applicants based in Cape Town, South Africa will be considered.</p><p> </p><h3><strong>Responsibilities and tasks</strong></h3><ul><li><p>Working closely in a growing remote team, with daily pair programming</p></li><li><p>Bringing ML models from benchmarks to production to be used by energy and power traders</p></li><li><p>Designing, developing and deploying critical features such as data ingestion and machine learning inference pipelines, dashboards, APIs and client libraries</p></li><li><p>Prototyping new ideas or technologies with short feedback cycles</p></li><li><p>Developing and automating internal tools and CI/CD pipelines</p></li><li><p>Active participation in technical planning and product design</p></li></ul><h3><strong>Need-to-have</strong></h3><ul><li><p>Expertise in designing, building and supporting secure, scalable, public-facing distributed systems on cloud infrastructure</p></li><li><p>Proven track record of owning projects and driving progress forward</p></li><li><p>Experience and interest in building prototypes rapidly with uncertain requirements and short feedback cycles</p></li><li><p>The ability to make pragmatic, fast-paced decisions and manage technical debt effectively</p></li><li><p>A proactive approach to identifying problems, performance bottlenecks, and areas for improvement</p></li><li><p>Confident in using modern Python in a large-scale production system</p></li><li><p>Bachelor's degree or higher in Computer Science or a related field</p></li><li><p>5+ years working in an Engineering role</p></li></ul><h3><strong>Nice-to-have</strong></h3><ul><li><p>Exposure to machine learning models</p></li><li><p>Experience working with geospatial datasets</p></li><li><p>Strong IaC experience (Pulumi, Terraform, etc.)</p></li></ul><h3><strong>What’s in it for you</strong><strong><br></strong></h3><ul><li><p>Exposure to cutting-edge machine learning techniques and technologies</p></li><li><p>The opportunity to work at a global company with biannual retreats in Europe</p></li><li><p>Be part of a team at the forefront of machine learning research and development</p></li><li><p>A chance to make a direct impact on the energy transition</p></li><li><p>As one of the first engineers, you'll play a significant role in shaping the product from the ground up</p></li></ul><div><p>At Jua, we foster a performance culture and value people who embody our beliefs of service and adventure. We prioritize agility, operating at the highest clock speed to adapt quickly to change. We innovate on behalf of our users and leverage data supremacy to maintain our competitive edge. Through clear communication and fact-based decision-making, we ensure alignment in our pursuit of excellence. With these principles, we aim to create a customer-focused, value-centric organization that sets new standards in the industry. We value the unique perspectives that each individual brings to the table and believe that embracing diverse backgrounds and experiences enriches our collective journey towards growth and success.</p></div>

Senior Software Engineer

<div><h3>Overview</h3><p>Jua's mission is to create artificial general intelligence (AGI). Our product uses a foundational Earth systems model to predict atmospheric events. It’s more accurate, faster, and updates more frequently than current weather models, making it valuable for traders in weather-dependent power markets. These benefits are crucial during extreme weather events like hurricanes and cyclones. As we scale the model, more applications will become possible, including wildfire, flood, and vegetation prediction.<br><br>By joining our talented multidisciplinary team, you'll help shape our culture of ambition, transparent communication, and rapid iteration. We offer exciting challenges, creative freedom, fair pay, and generous stock options.</p></div><h3><strong>What we are looking for</strong></h3><p>At Jua, our mission is to create the world’s most accurate foundational physics model for the Earth. We see this as an important step on the journey towards AGI. Critical to the success of this mission is the ability to run model training, evaluation and inference at a massive scale. The greater the scale we operate at, the better our model becomes. We are looking for a motivated <strong>Scientific Software Engineer (HPC)</strong> <strong> </strong>who can tackle these problems we encounter as we scale. </p><p>Jua is a research-led company with a focus on solving hard engineering problems as well as product excellence. The ideal candidate will be motivated by the prospect of working for an early-stage startup and excited to have the opportunity to play a leading role in the journey of scaling our infrastructure from hundreds of nodes to multiple orders of magnitudes. </p><p><strong>Responsibilities and tasks</strong></p><ul><li><p>Design, deploy and maintain critical components in Jua’s advanced machine learning cluster of 1000+ GPUs and petabyte-scale training data</p></li><li><p>Optimise for high MFU at every level, from overarching architectural design to fine-tuning CUDA kernels</p></li><li><p>Prototype and evaluate new technologies, vendors and architectural approaches with a focus on performance, usability, and reliability</p></li><li><p>Continuously profile and monitor system performance and resource utilisation</p></li><li><p>Enhance cluster efficiency and management by implementing best practices and automation</p></li><li><p>Troubleshoot and resolve complex technical issues across the system</p></li></ul><h3><strong>Need-to-have</strong></h3><ul><li><p>Extensive experience in building, configuring and managing high-performance accelerated computing clusters</p></li><li><p>Deep expertise with distributed file systems or object stores such as MinIO, Lustre, GPFS, Ceph</p></li><li><p>Understanding of distributed model training, especially deep understanding of different sharding strategies for models from 1 to 100B+ parameters</p></li><li><p>Strong troubleshooting abilities across all layers: application, operating system, networking, and hardware</p></li><li><p>A proactive approach to identifying problems, performance bottlenecks, and areas for improvement</p></li><li><p>Proven experience collaborating within multidisciplinary teams</p></li></ul><h3><strong>Nice-to-have</strong></h3><ul><li><p>Experience working with geospatial datasets</p></li><li><p>Experience leading/managing projects</p></li></ul><div><p>At Jua, we foster a performance culture and value people who embody our beliefs of service and adventure. We prioritize agility, operating at the highest clock speed to adapt quickly to change. We innovate on behalf of our users and leverage data supremacy to maintain our competitive edge. Through clear communication and fact-based decision-making, we ensure alignment in our pursuit of excellence. With these principles, we aim to create a customer-focused, value-centric organization that sets new standards in the industry. We value the unique perspectives that each individual brings to the table and believe that embracing diverse backgrounds and experiences enriches our collective journey towards growth and success.</p></div>

Scientific Software Engineer (HPC) 

<div><h3>Overview</h3><p>Jua's mission is to create artificial general intelligence (AGI). Our product uses a foundational Earth systems model to predict atmospheric events. It’s more accurate, faster, and updates more frequently than current weather models, making it valuable for traders in weather-dependent power markets. These benefits are crucial during extreme weather events like hurricanes and cyclones. As we scale the model, more applications will become possible, including wildfire, flood, and vegetation prediction.<br><br>By joining our talented multidisciplinary team, you'll help shape our culture of ambition, transparent communication, and rapid iteration. We offer exciting challenges, creative freedom, fair pay, and generous stock options.</p></div><h2><strong>What we’re looking for</strong></h2><p>As Jua.ai’s second Senior Account Executive, you will demonstrate to the market that our small AI startup can significantly outperform governments and large companies with billions in annual budgets and dedicated supercomputers across all performance metrics. Your primary focus will be helping clients recognise potential revenue growth and business expansion opportunities stemming from our groundbreaking technology.</p><p>In this position, you will play a crucial role in fostering a sales culture that values consistent success and prioritises customer service characterised by the highest levels of professionalism and integrity.</p><h2>Requirements </h2><ul><li><p>A high-achiever with a demonstrated track record of sales success</p></li><li><p>7+ years of experience in high-growth early-stage startup sales</p></li><li><p>A highly coachable individual with a history of rapidly adapting to new environments</p></li><li><p>Someone who embodies radical candor and possesses unwavering determination</p></li><li><p>Previous success in selling new product categories as opposed to being a "price configurator"</p></li><li><p>Consistent and proven record of selling 6 figure annual recurring revenue contracts for lesser-known brands</p></li><li><p>Experience using a variety of sales channels, including online marketing and telephone</p></li><li><p>Quick learner and highly adaptable, with the added advantage of international or cross-industry experience</p></li><li><p>Possess a high technical aptitude and a hunter mentality</p></li><li style="font-weight:bold;"><p><strong>Previous experience in energy and power markets, weather, machine learning or AI products, or related fields</strong></p></li><li><p>Travel as necessary within Europe to engage with prospects and clients</p></li><li><p>A background demonstrating world-class competitiveness</p></li></ul><h2>Responsibilities </h2><ul><li><p>Identify and cultivate new sales opportunities to achieve and exceed sales targets</p></li><li><p>Engage in both inbound and outbound sales strategies effectively using online and telephone communication</p></li><li><p>Demonstrate and articulate the value proposition of our new product category to potential clients</p></li><li><p>Leverage high technical aptitude to understand and sell our software and technology products</p></li><li><p>Develop Go-To-Market (GTM) strategies</p></li></ul><h2>Opportunity</h2><ul><li><p>Be one of the first sales representatives in a startup</p></li><li><p>Work with a highly differentiated product based on revolutionary technology</p></li><li><p>Collaborate with a founder who has successfully built &gt;10 multi-million ARR B2B SaaS companies</p></li><li><p>High attention from C-level at target accounts</p></li></ul><p> </p><p><strong>Note: </strong><br>This is not a sales management role, and only B2B sales experience is considered.</p><p> </p><div><p>At Jua, we foster a performance culture and value people who embody our beliefs of service and adventure. We prioritize agility, operating at the highest clock speed to adapt quickly to change. We innovate on behalf of our users and leverage data supremacy to maintain our competitive edge. Through clear communication and fact-based decision-making, we ensure alignment in our pursuit of excellence. With these principles, we aim to create a customer-focused, value-centric organization that sets new standards in the industry. We value the unique perspectives that each individual brings to the table and believe that embracing diverse backgrounds and experiences enriches our collective journey towards growth and success.</p></div>

Senior Account Executive

<div><h3>Overview</h3><p>Jua's mission is to create artificial general intelligence (AGI). Our product uses a foundational Earth systems model to predict atmospheric events. It’s more accurate, faster, and updates more frequently than current weather models, making it valuable for traders in weather-dependent power markets. These benefits are crucial during extreme weather events like hurricanes and cyclones. As we scale the model, more applications will become possible, including wildfire, flood, and vegetation prediction.<br><br>By joining our talented multidisciplinary team, you'll help shape our culture of ambition, transparent communication, and rapid iteration. We offer exciting challenges, creative freedom, fair pay, and generous stock options.</p></div><h3><strong>What we are looking for</strong></h3><p>At Jua, our mission is to create the world’s most accurate foundational physics model for the Earth. We see this as an important step on the journey towards AGI. Critical to the success of this mission is the ability to run model training, evaluation and inference at a massive scale. The greater the scale we operate at, the better our model becomes. We are looking for a motivated <strong>MLOps Engineer </strong>who can tackle these problems we encounter as we scale. </p><p>Jua is a research-led company with a focus on solving hard engineering problems as well as product excellence. The ideal candidate will be motivated by the prospect of working for an early-stage startup and excited to have the opportunity to play a leading role in the journey of scaling our infrastructure from hundreds of nodes to multiple orders of magnitudes. </p><p><strong>Responsibilities and tasks</strong></p><ul><li><p>Design, deploy and maintain critical components in Jua’s advanced machine learning cluster of 1000+ GPUs and petabyte-scale training data</p></li><li><p>Optimise for high MFU at every level, from overarching architectural design to fine-tuning CUDA kernels</p></li><li><p>Prototype and evaluate new technologies, vendors and architectural approaches with a focus on performance, usability, and reliability</p></li><li><p>Continuously profile and monitor system performance and resource utilisation</p></li><li><p>Enhance cluster efficiency and management by implementing best practices and automation</p></li><li><p>Troubleshoot and resolve complex technical issues across the system</p></li></ul><h3><strong>Need-to-have</strong></h3><ul><li><p>Extensive experience in building, configuring and managing high-performance accelerated computing clusters</p></li><li><p>Deep expertise with distributed file systems or object stores such as MinIO, Lustre, GPFS, Ceph</p></li><li><p>Understanding of distributed model training, especially deep understanding of different sharding strategies for models from 1 to 100B+ parameters</p></li><li><p>Strong troubleshooting abilities across all layers: application, operating system, networking, and hardware</p></li><li><p>A proactive approach to identifying problems, performance bottlenecks, and areas for improvement</p></li><li><p>Proven experience collaborating within multidisciplinary teams</p></li></ul><h3><strong>Nice-to-have</strong></h3><ul><li><p>Experience working with geospatial datasets</p></li><li><p>Experience leading/managing projects</p></li></ul><div><p>At Jua, we foster a performance culture and value people who embody our beliefs of service and adventure. We prioritize agility, operating at the highest clock speed to adapt quickly to change. We innovate on behalf of our users and leverage data supremacy to maintain our competitive edge. Through clear communication and fact-based decision-making, we ensure alignment in our pursuit of excellence. With these principles, we aim to create a customer-focused, value-centric organization that sets new standards in the industry. We value the unique perspectives that each individual brings to the table and believe that embracing diverse backgrounds and experiences enriches our collective journey towards growth and success.</p></div>

MLOps Engineer

<div><h3>Overview</h3><p>Jua's mission is to create artificial general intelligence (AGI). Our product uses a foundational Earth systems model to predict atmospheric events. It’s more accurate, faster, and updates more frequently than current weather models, making it valuable for traders in weather-dependent power markets. These benefits are crucial during extreme weather events like hurricanes and cyclones. As we scale the model, more applications will become possible, including wildfire, flood, and vegetation prediction.<br><br>By joining our talented multidisciplinary team, you'll help shape our culture of ambition, transparent communication, and rapid iteration. We offer exciting challenges, creative freedom, fair pay, and generous stock options.</p></div><h3><strong>Responsibilities and tasks</strong></h3><ul><li><p>Developing and improving scalable ETL pipelines in the cloud</p></li><li><p>Loading, processing, normalizing and providing various data types, from point data such as sensor measurements to raster data such as satellite or radar</p></li><li><p>Developing and improving an extensible data warehouse as the heart for weather modeling</p></li><li><p>Ensuring Performance, robustness and high availability</p></li><li><p>Development of interfaces for the exchange of data from a wide variety of applications</p></li><li><p>Testing, validating, visualizing and documenting new approaches and their performance</p></li></ul><h3><strong>Need-to-have</strong></h3><ul><li><p>Hold a senior position at a reputable company or at least 5 years of professional experience in the field of data engineering </p></li><li><p>Experience in data heavy environments </p><ul><li>Experience in handling large amounts of data (&gt;1TB)</li></ul></li><li><p>You have already set up scalable ETL pipelines, know the common database systems and have experience with common ETL libraries</p></li><li><p>Experience with distributed systems and various cloud providers</p></li><li><p>You are proficient in Python, as well as at least one other modern/mainstream programming language (C/C++, Java, Julia or Go)</p></li><li><p>You can develop solutions independently based on targets and have experience with agile work </p></li><li><p>You have experience and interest in the development of the idea, from a prototype to the finished product</p></li><li><p>You appreciate the values of an open feedback culture and transparency</p></li></ul><div><p>At Jua, we foster a performance culture and value people who embody our beliefs of service and adventure. We prioritize agility, operating at the highest clock speed to adapt quickly to change. We innovate on behalf of our users and leverage data supremacy to maintain our competitive edge. Through clear communication and fact-based decision-making, we ensure alignment in our pursuit of excellence. With these principles, we aim to create a customer-focused, value-centric organization that sets new standards in the industry. We value the unique perspectives that each individual brings to the table and believe that embracing diverse backgrounds and experiences enriches our collective journey towards growth and success.</p></div>

Senior Data Engineer

<div><h3>Overview</h3><p>Jua's mission is to create artificial general intelligence (AGI). Our product uses a foundational Earth systems model to predict atmospheric events. It’s more accurate, faster, and updates more frequently than current weather models, making it valuable for traders in weather-dependent power markets. These benefits are crucial during extreme weather events like hurricanes and cyclones. As we scale the model, more applications will become possible, including wildfire, flood, and vegetation prediction.<br><br>By joining our talented multidisciplinary team, you'll help shape our culture of ambition, transparent communication, and rapid iteration. We offer exciting challenges, creative freedom, fair pay, and generous stock options.</p></div><p>This job advertisement is not limited to a particular vacancy within our organization. Instead, it offers a chance for exceptional individuals to submit their resumes for future positions that match their skills and expertise. We prioritize building connections with outstanding individuals who can make valuable contributions to our success. </p><div><p>At Jua, we foster a performance culture and value people who embody our beliefs of service and adventure. We prioritize agility, operating at the highest clock speed to adapt quickly to change. We innovate on behalf of our users and leverage data supremacy to maintain our competitive edge. Through clear communication and fact-based decision-making, we ensure alignment in our pursuit of excellence. With these principles, we aim to create a customer-focused, value-centric organization that sets new standards in the industry. We value the unique perspectives that each individual brings to the table and believe that embracing diverse backgrounds and experiences enriches our collective journey towards growth and success.</p></div>

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