Lead Applied Scientist – Public Sector Investigations

This is a fully remote position, open to applicants in Colorado, +3 more states.

📋 Description

• Establish the technical direction for the public-sector investigations workstream.

• Select technical methodologies, organize scientific tasks, and ensure coherence among contributors.

• Lead scientific initiatives without direct management by reviewing designs and evaluations, enhancing quality standards, and resolving complex issues.

• Oversee AI system preparedness from problem definition through evaluation, error analysis, efficacy studies, and production oversight.

• Act as the primary escalation point for challenging technical decisions.

• Create initial prototypes with specialized teams and drive initiatives from concept to evidence.

• Transition work from proof of concept to large-scale production.

• Collaborate with product teams, engineers, designers, and embedded legal experts.

• Manage comprehensive scientific efforts for FOIA, public-records workflows, and governmental investigations.

• Design retrieval and review systems along with evaluation standards to ensure complete, accurate, and defensible responses.

⛳️ Requirements

• Master's degree or PhD in computer science or a related quantitative field, or equivalent professional experience.

• Minimum of 3 years of professional experience in applied AI/ML.

• Eligibility for a US Public Trust clearance.

• Familiarity with FOIA exemptions, PII management, and redaction processes.

• Extensive applied AI/ML experience and deployment knowledge.

• Experience in specifying, prototyping, and launching AI systems in collaboration with engineering teams.

• Proficiency in modern AI sufficient to guide others' efforts and evaluate system integrity.

• Capability to lead data analysis and design studies grounded in evidence.

• Strong software engineering acumen.

• A proactive ownership mentality extending beyond immediate responsibilities.

• Experience with government data or public-records is a plus.

• Interest in legal technology and the justice sector is desirable.

• Familiarity with information retrieval systems is advantageous.

• Experience developing agentic harnesses is beneficial.

• Proven track record in deploying reliable AI systems at scale is favorable.

🏝️ Benefits

• Competitive base salary.

• Annual performance bonuses.

• Long-term incentive opportunities.

• Chances to acquire cross-functional skills.

• Opportunities for career advancement.

• A chance to significantly impact customers, the industry, and communities.