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About the Role
Build machine learning models to solve problems specific to surgical robotics, many of which do not have existing research or pre-trained solutions to start from. Work across the full stack of our surgical robotic platform: the robotics system, the ML platform, and the infrastructure that powers model training.
Responsibilities
- 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.
Requirements
- Hands-on experience training machine learning models, either in graduate studies or professional work.
- 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.
- Ability to write clean, maintainable, production-quality code.
- Experience writing tests and validating software behavior.
- Comfortable working across multiple parts of the technical stack, from robotics to ML platform to training infrastructure.
- Strong debugging and problem-solving skills.
- Strong ownership mindset and ability to independently drive projects forward.
- Comfortable operating in a fast-moving environment with evolving priorities.
- Willingness to seek feedback, iterate quickly, and collaborate closely with teammates.
- 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.
Skills
- Machine Learning
- Software Engineering
- Computer Vision
- C++
- Robotics
Benefits
- 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
About the Company
- At Andromeda, you will have the opportunity to work alongside a small, highly technical team tackling some of the hardest problems in robotics, software, and healthcare.
- Your work will directly impact products that are deployed in real clinical environments and have the potential to improve patient outcomes at scale.
- The opportunity to help build a category-defining company from an early stage.