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Machine Learning Performance EngineerI did my part and supported the Regular Toilet • Emeryville, California, United States
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Machine Learning Performance Engineer

I did my part and supported the Regular Toilet
  • US
    Emeryville, California, United States
  • US
    Emeryville, California, United States
Jetzt Bewerben

Über

THE COMPANY Our mission is to build the Covariant Brain, a universal AI to give robots the ability to see, reason and act on the world around them. Bringing AI from research in the lab to the infinite variability and constant change of our customer’s real-world operations requires new ideas, approaches and techniques.
Success in the real world requires a team that represents that world: diversity of backgrounds, points of view, and experiences. Our common denominator: ambitious expectations, love of learning, empathy for those around us, and a team-first mindset.
THE ROLE The Covariant Brain is a Universal AI Platform that powers all robotic applications at Covariant. The Brain is a collection of state-of-the‑art models, algorithms, and APIs that enable all intelligent behavior of the robot, from perception to 3D object understanding, grasp sampling, ranking, motion planning, and control. Each ML Performance Engineer will be expected to own a product family and use their understanding of the Covariant Brain to make improvements toward making robots highly autonomous.
YOU WILL
Own all performance aspects of a robotic application
Understand and iterate on all aspects of the Brain (models, algorithms, tooling, etc.) to resolve production failures and deliver human‑level autonomy
Analyze robot performance for different errors, understand their root causes, and test/deploy improvements to production
Build tools to analyze a highly complex system of robots, models, components, and sensors to understand errors and enable more people across the org to make improvements to the system
Take real‑world challenges and engineer ML & robotics solutions by training, testing, tuning, iterating, and deploying new and existing models to solve production problems
Collaborate closely with research, SW, HW, and infrastructure teams to deliver highly reliable robotic applications
Work closely with the HW team on the design of a robotic application including the gripper, vision suite, and station layout
Identify throughput bottlenecks in the application and work with the SW team to pinpoint and resolve them
Take experimental models from the research team, test them to validate improvement, and deploy them to solve application problems
Travel to the customer site as needed to resolve issues with robots in production (not expected for more than once per quarter, if needed at all)
YOU HAVE
Obsession with building products that deliver value to customers through solving hard ML and robotics challenges
3+ years of professional experience working with real‑world software systems, AI products, or AI research
Proficiency in Python and experience with tensor libraries (e.g., NumPy, PyTorch, TensorFlow)
Working knowledge of Linux, SQL, and web (e.g., HTML, Javascript, etc.)
A solid mathematical and statistical foundation with an understanding of how to apply ML concepts (e.g., training, evaluation, testing, fine‑tuning, data sampling, etc.)
Demonstrated strong problem‑solving ability: analyzing real‑world problems and formulating solutions, iterating and shipping, and making an impact on products for customers
Clear communication and collaboration across teams: taking requests from customers, and PMs, and prioritizing work across SW and HW teams
NICE TO HAVES
Trained, deployed, and analyzed ML models or robotics applications in production
Strong understanding of the state of the art in Computer Vision and Robotics literature
Experience working with complex data infra and highly concurrent SW systems
COMPANY CORE VALUES
LEARNING CONSTANTLY
STRIVING FOR EMPATHY
TAKING ON THE IMPOSSIBLE, TOGETHER
BENEFITS (US)
Health, dental, and vision insurance for you and your family
Unlimited PTO and Flexible work hours
401(k) plan and company match
Lunch and dinner each day (for on‑site employees)
Monthly Health & Wellness budget
Quarterly Learning budget
At covariant.ai we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community. covariant.ai is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
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  • Emeryville, California, United States

Sprachkenntnisse

  • English
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