Senior Engineering Manager, ML Platform

remotemanager$240K$340K

via Ashby

About this role

Location: San Francisco, California or Seattle, Washington Employment Type: Full time Location Type: Hybrid Department: Engineering ABOUT THE TEAM The Machine Learning Platform team — internally known as "Potato Radius" — builds the training pipelines, feature infrastructure, and evaluation systems behind every score Sift returns, across more than 700 customers and a trillion-plus events a year. We give Sift's Data Science and ML Engineering teams the tooling to ship models fast, prove they work, and trust them in production. WHAT WE'RE LOOKING FOR We're hiring a Senior Engineering Manager to lead this team as a backfill for our outgoing lead.…

Read the full description on Sift'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, databricks, aws, gcp, kubernetes…

2

Level fit

This role is manager-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 remote-eligible — we factor in your stated location and time-zone overlap.

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Skills in this role

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

pythondatabricksawsgcpkubernetesdockersparkkafkaflinkclaudeteams

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