Machine Learning Engineer at Sprinter Health
San Francisco, CA
$140,000–$200,000
Jul 26, 2026
San Francisco, CA
Jul 29, 2026
What this job asks for AI summary
This ML Engineer role focuses on building and operating the production infrastructure that makes machine-learning models reliable at scale — training pipelines, inference APIs, batch serving, feature pipelines, drift monitoring, and automated retraining. The position sits at the intersection of software engineering, data engineering, and MLOps within a healthcare startup that delivers in-home patient care. It suits engineers who think in systems and have hands-on experience taking models from prototype to production.
Mid level · San Francisco-Oakland-Berkeley, CA · Full-time
Quick apply — this platform usually takes a CV and a few fields.
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 390 people in the San Francisco-Oakland-Berkeley, CA area plausibly meet what this posting asks for (data scientists). range 100–510
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $173,851 (middle half $133,298–$217,653).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 29, 2026. It is a model, not a headcount.
Why we read it this way (5)
The SOC classification is a genuine toss-up: the role is titled 'ML Engineer' and emphasizes production systems, pipelines, and MLOps (pointing toward 15-1252 Software Developers), but its core subject matter is ML model lifecycle management (pointing toward 15-2051 Data Scientists). 15-2051 was chosen as primary because the role's central purpose is making ML models work reliably, not general software product delivery.
The posting names no specific ML frameworks, cloud providers, or orchestration tools — only generic categories ('ML frameworks', 'cloud infrastructure', 'containers', 'orchestration'). Skills are captured at the category level as stated; no specific tools were invented.
The office location is not explicitly stated in the posting. Sprinter Health is headquartered in the San Francisco Bay Area; the CBSA reflects that inference. The hybrid schedule (Mon–Thu in-office) confirms this is not a fully remote role.
No compensation figures are disclosed in the posting.
Healthcare data and PHI-aware systems experience is listed under 'What gives you an edge' (preferred), not as a hard requirement.
Read the full posting
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