Machine Learning Research Manager at Rad AI
$200,000–$230,000
Jul 16, 2026
—
Jul 21, 2026
What this job asks for AI summary
A player-coach management role leading a small team of applied and clinical researchers building NLP and language model systems for radiology workflows. The manager sets technical direction, guides experimental design and evaluation, and works closely with clinicians, engineers, and product teams to move research into production. Suited to someone with a strong ML/NLP background who has prior people management or de facto team lead experience.
Senior level · 6+ years · San Francisco-Oakland-Berkeley, CA · Full-time
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 110 people in the San Francisco-Oakland-Berkeley, CA area plausibly meet what this posting asks for (computer and information systems managers). range 80–140
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $238,011 (middle half $208,323–$320,108).
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 (8)
This is a player-coach people-management role (direct reports, team direction, hiring/mentoring) mapped to 11-3021; however, the JD emphasizes staying hands-on with ML research, making 15-2051 a genuine runner-up.
The title 'Machine Learning Research Manager' carries no explicit seniority level word, so the title states no level. The 6+ years requirement and management scope support a Senior band.
Degree requirement is listed as 'MS or PhD … or equivalent practical experience', so no hard degree gate applies.
People management is listed under the required qualifications section but is softened with 'or clear evidence of operating as a de facto team lead' — still treated as a hard gate on the management capability.
Clinical AI, LLM deployment, and cloud ML workflows all appear under the 'Nice to Have' section.
The posting mentions a preference for in-office work at the San Francisco office but does not state it as a hard requirement; remote is set to false given the explicit office preference framing.
No compensation figures are provided in the posting.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): people management.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.