Lead Applied Scientist, Public Sector Investigations
$164,000–$164,000 year
HybridCalifornia, United States or Texas, United States
California, United States or Texas, United StatesHybridFull Time$164,000–$164,000 yearSenior LevelDoctorate Or Professional DegreeLarge
Full TimeSenior LevelDoctorate Or Professional DegreeLarge
Job Summary
Set technical direction for the public-sector investigations workstream, leading science without managing people and owning AI system readiness from problem framing through production monitoring. Build first prototypes with tiger teams, carrying early initiatives from proof-of-concept to production at scale while collaborating with engineering, product, and embedded legal experts. Establish evaluation standards that ensure responses are complete, correct, and defensible for FOIA and public-records workflows, serving as the first escalation for the domain's hardest technical calls.
Required Qualifications
- A master's or PhD in computer science or another quantitative discipline (or equivalent professional experience)
- At least 3 years of professional experience in applied AI/ML
- Eligibility for a US Public Trust clearance
- Working knowledge of privacy and records standards: FOIA exemptions, PII handling, and redaction
- Deep applied AI/ML and deployment experience: AI systems you specified, prototyped, and carried into production with engineering partners
- Enough depth in modern AI to direct others' work with it: you can tell a sound AI system from a fragile one before it ships
- You lead the data understanding for your workstream: you design the study that settles the argument, and you trust data over intuition
- Software-engineering judgment that sets a workstream's tone: your reviews teach, and your designs last
- An ownership mindset that extends beyond your immediate scope
- Communication
- Database Management
- Data Governance
- Government Regulation
- Information Security
- Legal Practices
- Legal Research
- Policy Analysis
- Stakeholder Management
- Strategic Planning
Desired Qualifications
- Deeper experience with government data or public-records work
- An interest in legal technology and the justice system
- Experience developing information retrieval systems
- Experience developing agentic harnesses
- Experience building reliable AI systems at scale
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