BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260202T201223Z
LOCATION:Hall 6
DTSTART;TZID=America/Chicago:20251117T164000
DTEND;TZID=America/Chicago:20251117T164000
UID:submissions.supercomputing.org_SC25_sess553_job246@linklings.com
SUMMARY:Data Scientist II - AI Assurance Researcher
DESCRIPTION:PNNL is seeking a Data Scientist II  - AI Assurance Researcher
  who has experience in understanding, exploring, and manipulating the inte
 rnal mechanics and behaviors of AI models and can provide valuable insight
 s into the decision boundaries and mathematical fingerprints of data prope
 rties. The selected candidate should have extensive experience training mo
 dels, accessing and working with data embeddings, the ability to derive th
 eoretical queries from empirical results, and demonstrate the capacity to 
 translate research papers and findings into mission relevant insights and 
 tools.\n\n \n\nKey Responsibilities:\n\nDesign and execute machine learnin
 g (ML) experiments that follow the current best practices within the commu
 nity, including large scale experiments on HPC (e.g. experiments that take
  a week)\nEvaluate AI systems across multiple axes, including standard per
 formance metrics but also generalization to out-of-distribution settings\n
 Write high-quality research code\nAssess empirical results to guide future
  research and experimental steps\nConduct work in secure environments and 
 execute work from an operational security perspective\n \n\nThis position 
 is based in either Richland, WA or Seattle, WA and requires an onsite pres
 ence.\n\nRegistration Category: Technical Program Reg Pass, Workshop Reg P
 ass, Tutorial Reg Pass, Exhibits Reg Pass\n\nCountry: United States of Ame
 rica\n\nCompany: Pacific Northwest National Laboratory\n\nIn-Person / Remo
 te: In-person\n\nPart Time / Full Time: Full Time\n\nPosition Type: Perman
 ent\n\n
END:VEVENT
END:VCALENDAR
