Founding Forward Deployed Machine Learning Engineer

mid

via Ashby

About this role

THE ROLE You'll operate at the bleeding edge of our technology and our customers' most consequential problems — simultaneously. You'll sit across from customers who are trying to fundamentally change how their businesses work, figure out where our platform falls short, and build the ML solutions that close the gap. Then you'll do it again for the next customer with an entirely different domain, data landscape, and set of constraints. The problems you solve in the field become the product. RESPONSIBILITIES - Find and Unlock Alpha: Go deep on customer problems and data workflows to identify the highest-leverage opportunities others miss, then build the solutions that capture them. - Ship What's Missing: When the product doesn't cover it, you do.…

Read the full description on Adaption'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: go, 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.

gopytorchtensorflowjax

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