Machine Learning Performance Engineer
Covariant
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See open jobs at Covariant.See open jobs similar to "Machine Learning Performance Engineer" Lux Capital.Software Engineering
Emeryville, CA, USA
Posted 6+ months ago
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 formulating, 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
SALARY RANGE
Base pay is one element of our total rewards package which may also include comprehensive benefits and equity etc., depending on eligibility. The annual base salary range for this position is from $170,000 to $225,000. The actual base pay offered will be determined on factors such as years of relevant experience, skills, education etc. Decisions will be determined on a case-by-case basis.
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
BENEFITS (UK)
Private medical insurance coverage for you and your family
UK Holidays: 25 days + 8 Statutory (EU Countries TBC specific to region)
£200 Learning budget per quarter - books, courses, etc.
£35 wellness budget per month - gym membership, fitness classes, etc.
Pension - 6% Personal and up to 6% company-matched
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.
This job is no longer accepting applications
See open jobs at Covariant.See open jobs similar to "Machine Learning Performance Engineer" Lux Capital.