Staff Research Engineer, Applied AI
Mountain Viewonsitestaff$197K – $291K
via Greenhouse
About this role
Snapshot
We are seeking a Staff Research Engineer, Applied AI to lead the development and deployment of novel applications, leveraging Google’s generative AI models. This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google and top customers. You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest-generation models. We are looking for engineers with a strong track record of building and shipping AI-powered software, ideally with experience in early-stage environments where they have contributed to scaling products from initial concept to production.…
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, pytorch, tensorflow…
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 Mountain View. 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.
awsazuregcppytorchtensorflowjaxtransformersvertex aimodalteams
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