AI Research Scientist at Sprinter Health
San Francisco, CA
$160,000–$220,000
Jul 16, 2026
San Francisco, CA
Jul 21, 2026
What this job asks for AI summary
An AI Research Scientist role focused on developing and owning a research agenda at the intersection of machine learning and healthcare. Day-to-day work spans designing rigorous experiments, producing publications and patents, advising applied engineering teams on methodology, and collaborating with clinical partners on validation studies. Best suited to someone with deep ML foundations, demonstrated peer-review-quality research output, and genuine interest in clinical AI applications.
Senior level · Remote · Full-time
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 45,800 people nationally plausibly meet what this posting asks for (data scientists). range 27,500–68,500
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The posting describes a research scientist role focused on novel ML methods, publications, and patents — it sits most naturally at 15-2051 (Data Scientists), though the emphasis on novel architectures and research agenda ownership has some overlap with 15-1299 (Computer Occupations, All Other); neither code is a perfect fit for a pure research-scientist function.
No overall years-of-experience figure is stated anywhere in the posting; seniority is inferred from the scope (owning a research agenda, mentoring others, external publication record, advising applied teams) which clearly maps to Senior.
The title 'AI Research Scientist' carries no explicit level modifier, so the title states no level.
Deep ML foundations are stated as a hard requirement in the 'What you have done' section. The specific sub-domains (LLMs, agents, uncertainty, causality, multimodal learning, clinical AI) are framed as 'at least one relevant area, such as…' — i.e., depth in any one of them satisfies the requirement — so each is listed as preferred rather than individually required.
The posting describes a hybrid schedule (Mon–Thu in-office, Fri remote). The caller has instructed this be treated as fully remote and no metro inferred; that instruction is reflected in remote=true and an empty CBSA.
No compensation figures are disclosed.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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