Machine Learning Engineer

Key Skills

AI Robotic systems, AI technology, Algorithms, Data Classification, Effective communication skills, HTML, JavaScript, Linux Operating system, Machine learning techniques, NumPy, Optimization, Python Programming, PyTorch, Regression Analysis, SQL, Statistical modeling, TensorFlow

Job Description

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.

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

YOU HAVE

• 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, optimizers, regression, classification, 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

NICE TO HAVES

• Trained, deployed, and analyzed ML model 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

• Health, dental, and vision coverage for you and your family
• Unlimited PTO 
• Flexible work hours
• 401(k) plan and match (applies only to United States employees)
• Lunch and dinner each day (for on-site employees)
• Monthly Health & Wellness budget
• Quarterly Learning budget