Jack & Jill · San Francisco, CA

Salary
Posted
Jun 28, 2026
Location
San Francisco, CA
Last confirmed open
Jul 20, 2026

What this job asks for AI summary

Senior level · San Francisco-Oakland-Berkeley, CA · Doctorate required · Full-time

Must have (4)
imitation learningdiffusion policies or Vision Language Action Modelsrobot manipulation policiesdexterous manipulation or Tactile Sensing
Nice to have (1)
physical foundation models

“or” means any one of them counts — you don't need all of them.

Posted 4 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.

Why we read it this way (7)

The posting is from a stealth startup recruiting via an AI recruiter platform (Jack & Jill); the actual employer is anonymous, which limits verifiable detail.

Degree requirement: the JD states 'PhD from a top-tier robotics laboratory OR extensive research experience at a leading organization specializing in physical foundation models.' Because a PhD is explicitly offered as the primary path but an experience-based alternative is also accepted, the degree requirement is set to None — however, a PhD is strongly preferred and will likely be a practical gate for most candidates.

SOC classification is Medium confidence: the role is a research scientist in robotics/physical AI, which sits at the intersection of Data Scientists (15-2051, for the ML/modeling work) and the broader Computer Occupations bucket (15-1299). There is no single SOC that cleanly captures robotics research.

Skills like 'imitation learning' and 'robot manipulation policies' are not named tools but are specific, well-defined technical methodologies central to this role — retained as skills given their specificity to the field.

Compensation is listed as 'Not Disclosed'; significant equity (minority co-founder level) is mentioned but no cash figures are given.

The role is described as an individual contributor (IC) founding research scientist, not a people-management role, despite the expectation of eventually building a research function.

Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): end-to-end policy training.

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