Sr. Staff Machine Learning Systems Engineer
Hims & Hers · US Remote · US
Posted 60+ days ago
Health Tech
Remote
Not yet analysed
Demand80
Career growth85
Healthcare fit25
Remote potential90
5-year outlook
High earning potential, likely in the top percentile for engineering roles, with continued growth as AI in healthcare expands. Exact figures depend on experience and location, but senior staff ML engineers at health tech companies command premium compensation.
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 for clinicians with deep ML engineering experience; otherwise, not a practical target. For those with the right technical background, it offers a unique opportunity to shape AI safety in healthcare.
Who should apply
Clinicians with a background in computer science, data science, or ML engineering, and an interest in healthcare AI. Also relevant for those with experience in clinical research or quality improvement who have pivoted to technical roles.
CV angle
Highlight clinical domain knowledge as an asset for understanding patient safety and regulatory requirements. Emphasize any experience with data analysis, research, or quality improvement, and frame it as a foundation for building trustworthy AI in healthcare.
Skills to highlight
- Machine learning
- Data engineering
- Evaluation methodology
- Statistical analysis
- Cross-functional leadership
- Healthcare domain knowledge
Role summary
A senior engineering role at Hims & Hers responsible for building and scaling AI evaluation systems, data pipelines, and statistical gates to ensure AI models are safe and effective for patient use.
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