Staff Machine Learning Scientist
Hinge Health · San Francisco-HQ · US
Posted 60+ days ago
Health Tech
Hybrid
Not yet analysed
Demand80
Career growth85
Healthcare fit20
Remote potential70
5-year outlook
Staff-level ML roles in digital health typically command top-tier compensation, with strong growth as AI in healthcare expands. Exact figures depend on location and equity, but the trajectory is favorable.
Clinical license
Not required
Applicant reach
narrow
Seniority
senior
Employment type
full-time
Date found
2026-08-26
Intelligence details
Why this is worth applying to
Only consider if you have strong ML engineering experience; otherwise, not a fit. For clinicians with a CS/ML background, this is a high-impact role in a growing health tech company.
Who should apply
Clinicians with a background in computer science, data science, or machine learning, and experience building production systems. Also relevant for healthcare graduates with ML specialization.
CV angle
If you have ML experience, highlight your production ML projects, experimentation rigor, and any healthcare domain knowledge. Emphasize Python/SQL skills and leadership in technical teams.
Skills to highlight
- Python
- SQL
- Machine Learning
- Experimentation and A/B testing
- Recommendation systems
- Causal inference
- Production deployment
- Technical leadership
Role summary
A senior ML scientist role at a digital MSK company, owning the ML that decides when and how to nudge members for engagement and adherence.
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