Staff Machine Learning Engineer
Suki AI · Redwood City, CA · US
Posted 60+ days ago
Health Tech
On-site
Not yet analysed
Demand80
Career growth85
Healthcare fit25
Remote potential70
5-year outlook
Staff ML engineers at health tech startups typically command top-tier compensation, often exceeding $200k base with equity upside, and the growing demand for AI in healthcare suggests strong salary growth over the next 3-5 years.
Clinical license
Not required
Applicant reach
broad
Seniority
senior
Employment type
–
Date found
2026-08-26
Intelligence details
Why this is worth applying to
For clinicians with a strong software engineering and ML background, this is a high-impact opportunity to shape healthcare AI. For typical clinicians without deep technical experience, the 7+ year software requirement makes it impractical.
Who should apply
Clinicians with 7+ years of software engineering experience, especially those with ML/NLP expertise, who want to transition into health tech leadership roles.
CV angle
Highlight any clinical experience as domain expertise that informs product design, but emphasize technical achievements: production ML systems, LLM implementations, distributed systems, and measurable impact on reducing clinician workload.
Skills to highlight
- NLP
- LLM
- Python
- PyTorch
- GCP
- Kubernetes
- RAG
- Evaluation frameworks
- Distributed systems
Role summary
Senior ML engineer at a health tech startup building AI for clinical documentation, focusing on NLP and LLM systems to reduce administrative burden for clinicians.
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