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AvrideSoftware Engineering

Software Engineer – ML Platform

Austinonsitemid

via Greenhouse

About this role

About the team The ML Platform team at Avride builds the infrastructure that powers large-scale ML training and data processing for autonomous driving. We sit between Cloud Platform and ML engineers, turning low-level compute, storage, and networking primitives into an ML platform that teams actually use — scalable orchestration, distributed compute, and production-grade tooling for the full model lifecycle. About the role As an ML Platform Engineer at Avride, you'll own critical pieces of the ML stack: workflow orchestration, distributed execution, resource governance, performance.You will shape how ML teams across the company run experiments and train models at scale.…

Read the full description on Avride'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, go, c++, kubernetes, mlflow…

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 Austin. We weight your proximity and willingness to relocate.

Score yourself on this role.
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Skills in this role

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

pythongoc++kubernetesmlflowrayteams

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