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Machine Learning Engineer

Andromedasurgical · San Francisco · On-site

USD 150,000–250,000 / year

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Company
Andromedasurgical
Location
South San Francisco
Work mode
On-site
Open to applicants from
On-site/hybrid: local candidates
Level
Not specified
Employment
Full-time
Field
Data & AI / Machine learning & AI
Stated pay
USD 150,000–250,000 / year
Posted
2026-09-14 (2 months ago)
Visa sponsorship mentioned
Yes
Listing source
Ashby

Machine learningC++ AI / ML engineering & research Health-tech, non-clinical

About 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,…

Excerpt only. Read the full description and apply at the original posting on Ashby. We list jobs from public job-board feeds and do not alter employer content beyond this excerpt.

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