ML Engineer

mid

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. Build the reliable systems that carry our data from an assay recording to a reproducible model, an evaluated prediction, and a usable recommendation for the next experiment. Key Responsibilities • Own pipelines for ingesting, validating, versioning, and joining assay videos, metadata, compound records, model features, and experimental outcomes • Build reproducible training and evaluation infrastructure with clear data lineage, model versioning, automated tests, and auditable outputs…

Read the full description on Monarchcrops's site →

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, google cloud, pytorch, tensorflow, jax

2

Level fit

This role is mid-level. We check your trajectory against it.

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.

pythongoogle cloudpytorchtensorflowjax

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