2026 PhD Residency - ML / SWE, Orchestration of Agentic Systems, Early Stage Project
Mountain Viewonsite$109K – $157K
via Greenhouse
About this role
How you will make 10x impact:
Collaborate with X project team to experiment and build novel insights to business process optimization and ML-accelerated data ingestion
Rapidly develop prototypes of artificial intelligence, machine learning models applied to business process workflows
Apply the latest in data science techniques to build and deploy data pipelines and exploratory data analysis on large-scale datasets
Develop value chain maps, evaluate costs and revenues to assess and recommend areas in which to de-risk the project
Work cross-functionally with experts across, X, Alphabet, and academia
Engage with the intern community during the program (attending tech talks, colloquium, and learning moonshot thinking), and most importantly HAVE FUN!…
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, aws, azure, gcp, pytorch…
2
Level fit
We check your title trajectory against the seniority signal of the role.
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.
pythonawsazuregcppytorchtensorflowjaxteams
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