Staff MLOps Engineer – ML Platform
Palo Altoonsitestaff
via Greenhouse
About this role
Bright.AI is a high-growth Physical AI company transforming how infrastructure businesses interact with the physical world through intelligent automation. Our AI platform processes visual, spatial, and temporal data from billions of real‑world events—captured across edge devices, mobile sensors, and cloud infrastructure—to enable intelligent decision‑making at scale.
We are now hiring a Staff MLOps Engineer to lead the build‑out of our cloud‑native ML developer platform and production pipelines. This role is pivotal to building an integrated ML/AI development platform with programmatic data analysis and algorithm development capability on AWS—so teams can move from notebook to secure, reliable, and cost‑efficient production services quickly.…
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: python, fastapi, opensearch, redshift, aws…
2
Level fit
This role is staff-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 Palo Alto. We weight your proximity and willingness to relocate.
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.
pythonfastapiopensearchredshiftawss3lambdaeksglueemrsagemakeriamdockerterraformcdkgithub actionsgrafanasparkpysparkairflowpytorchmlflowbedrockgithub
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