Founding Machine Learning Engineer

mid$220K$300K

via Ashby

About this role

ABOUT THE ROLE A Series A AI/ML startup focused on model training and evaluation is looking for a Founding ML Engineer to build and scale core machine learning systems from the ground up. This is a hands-on, high-impact role for someone who thrives at the intersection of research intuition and engineering execution. You will work closely with the founding team to design, train, and ship production-grade ML models while helping set the foundation for technical culture, infrastructure, and research practices. WHAT YOU'LL DO - Build and optimize end-to-end ML pipelines, from data ingestion to deployment. - Implement and fine-tune LLMs, embeddings, and generative models for real-world applications. - Develop efficient training and inference systems leveraging distributed compute.…

Read the full description on Clera'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, 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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