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DTSTART:19700308T020000
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DTSTAMP:20260202T201223Z
LOCATION:Hall 6
DTSTART;TZID=America/Chicago:20251117T164100
DTEND;TZID=America/Chicago:20251117T164100
UID:submissions.supercomputing.org_SC25_sess553_job248@linklings.com
SUMMARY:Senior Data Scientist - ML Engineer-AI Assurance
DESCRIPTION:PNNL is seeking a Senior Data Scientist - ML Engineer-AI Assur
 ance who has deep experience refactoring and modularizing research code fo
 r maintainability, extensibility, and reusability. The selected candidate 
 must be able to collaborate effectively across research and engineering te
 ams to align research goals with deployment requirements, and to develop p
 ackages, APIs, and interfaces that enable straightforward integration into
  mission-relevant environments. They should be fluent in Python and modern
  ML frameworks, and comfortable working with unstructured, experimental co
 de.\n\n \n\nKey Responsibilities:\n\nLead refactors, modularization, and o
 ptimization of research code for maintainability and scalability \nDrive c
 ollaboration with researchers to understand algorithmic intent and with en
 gineers to ensure integration into broader systems \nMentor junior staff o
 n best practices to integrate research into broader systems \nDesign and d
 evelop tools and APIs to enable integrations into mission-relevant environ
 ments and workflows \nWrite clear, well-documented code and participate in
  code reviews  \nConduct work in secure environments and execute work from
  an operational security perspective\n \n\nThis position is based in eithe
 r Richland, WA or Seattle, WA and requires an onsite presence.\n\nRegistra
 tion Category: Technical Program Reg Pass, Workshop Reg Pass, Tutorial Reg
  Pass, Exhibits Reg Pass\n\nCountry: United States of America\n\nCompany: 
 Pacific Northwest National Laboratory\n\nIn-Person / Remote: In-person\n\n
 Part Time / Full Time: Full Time\n\nPosition Type: Permanent\n\n
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