ML Engineer for Surgical Robotics & Deployment Platform

Andromeda Surgical; South San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Equity package

Flexible healthcare

Wellness stipend

401(k)

Visa sponsorship

Job summary

Andromeda Surgical is seeking a Machine Learning Engineer to work across the full stack of our robotic platform, from robotics system to ML platform and training infrastructure. You will build models to solve surgical robotics problems, often without pre-trained solutions to adapt.

You will collaborate with robotics, software, and clinical teams to deploy new capabilities on the robot, writing clean, testable code for production use.

Qualifications

• Hands-on experience training machine learning models in real-world or academic settings.
• Ability to build models from scratch for problems without established solutions.
• Ability to frame ambiguous ML problems and define a path forward.

Responsibilities

• Train and build machine learning models for real-world robotic applications.
• Work across the robotics stack, the ML platform, and training infrastructure.
• Develop models from scratch for novel problems lacking pre-trained solutions.
• Write clean, production-quality code that integrates with the system.
• Collaborate with robotics, software, and clinical teams to deploy capabilities.

Skills

ML model training

Model deployment from scratch

Ambiguity handling in ML

Cross-functional collaboration

Tools

C++

ONNX

Job description

Andromeda Surgical is seeking a Machine Learning Engineer to work across the full stack of our robotic platform, from robotics system to ML platform and training infrastructure. You will build models to solve surgical robotics problems, often without pre-trained solutions to adapt.

You will collaborate with robotics, software, and clinical teams to deploy new capabilities on the robot, writing clean, testable code for production use.