Machine Learning Engineer
Berkeley, CA
Applications have closed
Covariant
Covariant builds and delivers Robotics Foundation Models into the real world, meeting the reliability and flexibility required by the world’s leading retailers and logistics providers.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 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. As an ML Engineer, you will work closely with researchers, SW engineers, and HW engineers to ensure that the Brain can deliver autonomy to our products and customers.
In this role you will:
- Understand and iterate on all aspects of the Brain (models, algorithms, tooling, etc.) to resolve production failures and deliver human-level autonomy.
- Take real-world challenges and engineer ML & robotics solutions by applying state-of-the-art approaches: training, testing, tuning, iterating, and deploying models to solve production problems.
- Build tools and analyze a highly complex system of robots, models, components, and sensors to understand limitations and apply ML approaches to overcoming them.
- Collaborate closely with research, SW, HW, and infrastructure teams to deliver highly reliable robotic applications.
Requirements
- Proficient in Python, experience with tensor libraries e.g. numpy, pytorch, tensorflow.
- Working knowledge of linux, SQL, web (HTML, Javascript, etc.).
- Possess a solid mathematical and statistical foundation with understanding of how to apply ML concepts: training, optimizers, regression, classification, etc.
- Demonstrate strong problem solving ability: analyzing real world problems and formulating solutions, iterating and formulating, shipping and making impact to products for customers.
- Clear communication and collaboration across teams.
Nice to have
- Trained, deployed, analyzed ML model or robotics application 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.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Classification Computer Vision JavaScript Linux Machine Learning NumPy Python PyTorch Research Robotics SQL Statistics TensorFlow Testing
Perks/benefits: Flex hours Flex vacation Health care
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