Machine Learning Performance Engineer

Key Skills

Aartificial intelligence, AI Robotic systems, Computer Vision (CV), Effective communication skills, HTML, JavaScript, Machine learning techniques, NumPy, Python Programming, PyTorch, TensorFlow

Job Description

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. Read more about our culture at https://www.keyvalues.com/covariant .

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 Application Performance Engineer will be expected to own a product family and use their understanding of the Covariant Brain to make improvements towards making robots highly autonomous.

YOU WILL

• Own all performance aspects for 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.
• Working closely with the HW team on the design of a robotic application including the gripper, vision suite, and station layout.
• Identifying throughput bottlenecks in the application and working with the SW team to pinpoint and resolve them.
• Taking experimental models from the research team, testing them to validate improvement, and deploying 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, finetuning, 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, PMs, and prioritizing work across research and HW teams.

NICE TO HAVES

Trained, deployed, and analyzed ML models or robotics applications in production.

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

Study allowance

Flexible work hours

Lunch allowance and overtime meals each day

Pay government insurance in full