Full-Time
Machine Learning Performance Engineer
Confirmed live in the last 24 hours
Develops AI robotics platform for autonomous picking
Mid
Oakland, CA, USA
- 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.)
- Solid mathematical and statistical foundation with an understanding of how to apply ML concepts
- Clear communication and collaboration across teams
- 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)
Covariant specializes in the development of the Covariant Brain, an AI robotics platform trained on millions of picks from Covariant robots, enabling autonomous picking of various SKUs and items. The platform offers solutions for high-speed sortation, automated induction, robotic picking, assembly, and depalletization, aiming to build a universal AI for real-world operations.
Company Stage
Series C
Total Funding
$222M
Headquarters
Berkeley, California
Founded
2017
6 month growth
↑ 3%1 year growth
↑ 7%2 year growth
↑ 70%Benefits
Health, dental, and vision coverage for you and your family
Unlimited time off Flexible work hours
Lunch and dinner each day
401(k) plan and match