Founding Engineer - Machine Learning

mid$220K$300K

via Ashby

About this role

ABOUT THE ROLE A well-funded AI/ML platform startup (Series A) based in Mountain View, CA is looking for a Founding Engineer – Machine Learning to build and scale core ML systems from the ground up. You'll join a small, high-velocity team working closely with the founders to establish technical culture, reliable ML pipelines, and measurable product impact. This is a rare opportunity to shape the architecture and direction of ML infrastructure at an early stage. WHAT YOU'LL DO - Build and optimize end-to-end ML pipelines from data ingestion through deployment. - Implement and fine-tune LLMs, embeddings, and generative models for real-world use cases. - Develop efficient training and inference systems leveraging distributed compute.…

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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, aws, azure, gcp, pytorch…

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.

pythonawsazuregcppytorchtensorflowmlflowteams

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