ML Engineer

In this role, you will

• Develop software systems for robotic platforms that power robot perception, intelligence, and behavior
• Write maintainable, production quality code for research and deployment
• Build multi-modal machine learning models for tasks such as computer vision, audio processing, and interaction understanding
• Design and implement pipelines for training and deploying machine learning models
• Integrate ML systems with robotic hardware and embedded systems
• Improve robot perception, responsiveness, and behavioral intelligence
• Collaborate with robotics engineers to build integrated robotic controls and architectures

You may be a good fit, if you

• 3+ years (or equivalent) working on machine learning for robotics, controls, or perception
• Have strong programming skills in Python and/or C++ and understanding of algorithms and software engineering fundamentals.
• Have experience with machine learning frameworks such as PyTorch
• Have experience in one or more of the following areas: computer vision, robotics, reinforcement learning, or multimodal AI
• Have experience building and deploying machine learning systems preferably in Simulations (Issac Sim, MJLab, Mujoco, etc.)
• Show intentionality in design decisons and feel ownership over outcomes, even for systems you don't own.
• Think holistically about the entire system and approach complex problems with creative, outside-the-box solutions.

You will be a strong fit, if you

• Absolutely love and are passionate about building intelligent physical systems.
• Move quickly and can do rapid iteration cycles. Share work early and iterate.
• Take ownership over the systems they design and build, and are curious, resourceful, and motivated to solve difficult problems.
• Work well in small, collaborative teams.
• Consider not just what immediately works, but how the consumer will engage with the robot.

Additional information

The early team becomes the DNA of the company. We set ourselves and others to a high standard, and we respond with kindness when things get hard but keep everyone accountable. This requires us to be curious, creative, and diverse in our thinking and approach.

Even if you don’t meet every single requirement, we encourage you to apply. Studies show that women and underrepresented groups often hold back unless they meet 100% of the criteria - we don’t want that to be the reason we miss out on great talent.