ML Researcher

via Ashby

About this role

We offer opportunities to do your life’s work while helping solve one of the most important technical and moral challenges of our time. Full-time, in-office in Emeryville, California. Compensation includes equity. Develop the learning methods that turn repeated assays into better scientific decisions. The central question is prospective: can a model use prior compound, assay, and behavior data to recommend an experiment that is more informative than the one scientists would otherwise run? Key Responsibilities • Research models that combine molecular information, formulation and dose, assay metadata, video-derived behavior, and laboratory context…

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What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python

2

Level fit

We check your title trajectory against the seniority signal of the role.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in a specific location. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

python

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