Principal Machine Learning Engineer, Data Mining
BostonRemote (US)principal
via Greenhouse
About this role
Mission Summary: At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag , our ML-powered multimodal data mining framework, is the engine that powers this discovery. As a Principal Machine Learning Engineer, you will serve as a foundational technical leader shaping the long-term, multi-year vision for our foundation model post-training ecosystem. While training foundation models from scratch is on our horizon, your immediate mandate is to architect the systems that adapt, align, and optimize massive multimodal models for our autonomy stack.…
What we'd score you on
reqspace match rubricFive 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: aws, azure, gcp, teams
2
Level fit
This role is principal-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.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
awsazuregcpteams
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