Machine Learning Engineer

• Train and build machine learning models for real-world robotic applications.
• Work across the robotics stack, the ML platform, and the infrastructure for model training.
• Build models from scratch for novel problems where prior research or pre-trained models do not apply.
• Write clean, testable, production-quality code that integrates with the broader system.
• Collaborate closely with robotics, software, and clinical teams to bring new capabilities to the robot.

• Hands-on experience training machine learning models, either in graduate studies or professional work. This is a must, not something to learn on the job.
• Ability to build models from scratch for problems where existing research does not apply, rather than only fine-tuning or retraining existing models.
• Ability to scope out an ambiguous ML problem and define an approach when there is no established path to follow.

Software Engineering

• Ability to write clean, maintainable, production-quality code.
• Experience writing tests and validating software behavior. Testing is a core part of how we build, not an afterthought.
• Comfortable working across multiple parts of the technical stack, from robotics to ML platform to training infrastructure.
• Strong debugging and problem-solving skills.

Ownership & Startup Mindset

• Strong ownership mindset and ability to independently drive projects forward.
• Comfortable operating in a fast-moving environment with evolving priorities.
• The project needs to be delivered, and you do what it takes to get it there.
• Willingness to seek feedback, iterate quickly, and collaborate closely with teammates.

Nice to have

• Experience with computer vision or vision models.
• Experience deploying high-performance ML models in production (for example, converting trained models to ONNX or similar formats for C++ inference).
• Experience with C++.
• Experience with robotics or hardware-adjacent systems.
• Experience working in startup environments.

• Competitive salary and equity package
• Flexible healthcare benefits through an individual coverage reimbursement program
• Monthly health and wellness stipend
• 401(k) retirement plan
• Visa sponsorship available for eligible candidates
• The opportunity to help build a category-defining company from an early stage

Compensation Range: $150K - $250K