About the role
About Andromeda
Andromeda is building autonomous surgical robots designed to help surgeons perform procedures more safely, consistently, and efficiently. Our engineers work across robotics, software, hardware, machine learning, and clinical operations to bring robotic systems from concept to real-world deployment. We are a small, highly collaborative team that values ownership, curiosity, technical rigor, and the ability to move quickly from idea to execution.
The Role
We are looking for a Machine Learning Engineer to work across the full stack of our surgical robotic platform: the robotics system, the ML platform, and the infrastructure that powers model training. You will 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.
What You'll Do
- 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.
What We're Looking For
Machine Learning
- 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.
