Data Scientist - AI Benchmark Architect

Are you looking for a career-defining challenge working on building AI and physic-inspired tools for autonomous control building solutions?

About PassiveLogic

PassiveLogic is the first fully autonomous platform for buildings. We’ve reinvented the fundamental principles of automation to democratize technology, optimize buildings, and reduce the world’s carbon footprint. We are a team of technologists, engineers, and creatives dedicated to making a sustainable impact through real-world solutions.

We are looking for team members who have a passion for technology and want to work on cutting-edge problems with real-world solutions. Our culture is built on bringing together the most talented engineers, thinkers, and creatives—backed by the world’s leading investors—working together to make the future a reality.

About the Role

This is a career-defining opportunity to play a crucial role in a hyper-scale AI company that is transforming the future of autonomous systems, energy, and the built environment.

As an AI Benchmark Architect, you will play a foundational role in our Qortex team, focusing on applying advanced analytics to identify best practices for various neural net and knowledge graph models that can improve our generative models and RAG algorithms for building performance, occupant comfort, and sensing algorithms.

What you’ll do

Performance Metrics Design and Analysis: Ability to define and interpret key performance indicators (KPIs) for autonomous systems, such as accuracy, latency, robustness, and efficiency. Expertise in designing meaningful benchmarks that evaluate real-world performance.

Data Collection and Management: Acquire and manage a variety of data including sensors and control data from PassiveLogic’s deployed Hive Controller systems, and virtual data from the simulation environment.

Data Analysis: Conduct an in-depth analysis of the collected data, identifying patterns, insights, and anomalies that can influence the system's performance. Collaborate with the Formal Methods team to provide refinement ideas to automate the physical and statistical-based testing of our systems and algorithms in simulated and deployed buildings.

Design a contribution roadmap to open source, develop, and maintain datasets: Create evaluation metrics that measure the performance and fairness of AI models across diverse tasks. They ensure that benchmarks are comprehensive, reproducible, and aligned with real-world applications while actively collaborating with the open-source community to promote transparency, inclusivity, and innovation.

Presentation of Findings: Communicate complex data findings to technical and non-technical stakeholders, including creating visualizations, reports, and presentations.

What you’ll bring

If your experience does not meet all our posted requirements below, we’d still love to hear from you. We are looking for practitioners who are passionate about understanding people, committed to lifelong learning, and driven by the love of what they do. If that’s you, please apply!

You must have

• Proven experience:

• MS/PhD in Data Science, Computer Science, Mechanical/Electrical Engineering, Civil Engineering, or equivalent experience.

• Strong statistical analysis skills and experience with machine learning techniques

• Proficiency in programming languages (Python, C++, Swift, Rust, etc)

• Exceptional Communication Skills: Demonstrates the ability to effectively articulate complex technical concepts related to deploying autonomous systems and advanced programming in Swift. Excels at translating technical features into compelling narratives that resonate with both technical and non-technical audiences.

• Organized and Strategic: Skilled in planning and executing the deployment of autonomous systems with precision, ensuring all aspects—from system integration to scalability—are managed with a high level of attention to detail.

• Collaborative Mindset: Thrives in team environments, working closely across disciplines to align strategies for system deployment, programming, and sustainable design with overarching project and organizational goals.

• Adaptability: Comfortable in a fast-paced startup environment, eager to learn, iterate, and innovate.

• Problem solving: You own this role. When issues arise, be the empowered force that solves them, rolling-up.

You should have

• Understanding of the built environment and cyber-physical systems: Demonstrate a strong knowledge of how physical infrastructure integrates with digital technologies, enabling the creation of intelligent and adaptive systems.

• Experience with validation frameworks for autonomous systems: Proven ability to design and implement robust validation frameworks to ensure the reliability and performance of autonomous systems across diverse conditions.

• Proficiency in reasoning and inferencing: Skilled in applying advanced reasoning and inferencing techniques to enhance decision-making processes and optimize system intelligence.

• Experience with relational databases: Demonstrated experience in managing and optimizing relational databases like PostgreSQL and MySQL to efficiently store, retrieve, and analyze complex datasets.

• Familiarity with building energy modeling software: Knowledgeable in tools such as EnergyPlus, Modelica, and IES, leveraging them to simulate and optimize building energy performance and sustainability.

It’s helpful to have

• Experience in deploying autonomous systems: Demonstrated expertise in implementing and integrating autonomous systems, ensuring reliable performance, scalability, and seamless functionality across diverse environments.

• Proficiency with Swift programming language: Skilled in utilizing Swift to design, develop, and optimize software applications, leveraging its advanced features to deliver efficient and scalable solutions.

• Solid understanding of building physics and HVAC systems: Comprehensive knowledge of building physics, including heat transfer and HVAC systems, enabling the creation of energy-efficient and sustainable designs tailored to complex operational requirements.

We know there are candidates who might not fit everything we’ve described above, or who might have experience and skills we haven’t considered. PassiveLogic can sometimes be flexible enough to shift responsibilities to the right person, or otherwise identify open or upcoming roles that may better fit your professional background. Even if you don’t meet all the requirements above, we still want to hear from you.

Compensation, Benefits & Perks:

• Competitive compensation
• Generous equity share package
• Medical, dental and vision coverage
• Disability and life Insurance options
• Flex PTO
• Team-building events
• Free catered lunch in the office Monday — Friday
• Free ski pass (We are at the base of Big Cottonwood Canyon)
• Free National Park pass

When applying, include:

• A cover letter telling us why you're the perfect candidate for PassiveLogic 
• A resume
• Extra mile — include a description of a project (of any type) you personally created, devised, built, managed, organized, or designed that was of your own self-initiative

Diversity and inclusion 

Diversity, inclusion, and belonging is woven into our values and everything we do. We welcome all—come as you are and bring your whole self. We are proud to be an Equal Opportunity Employer. We celebrate diversity every day by maintaining a safe and inclusive environment for our employees at every stage of their careers.