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About
About the Organization Delivers mission-critical technology for those who protect what matters. Builds AI-enabled capabilities purpose-built for federal law enforcement and national security partners. Work sits at the intersection of artificial intelligence, cybersecurity, and identity technology. Operates with a startup mentality focused on technical depth, creative problem-solving, and ownership.
Work Location McLean, VA or Columbia, MD • Hybrid environment with flexibility for remote work • On-site presence expected 2–3 days per week for team collaboration • Schedule: Monday–Friday; occasional monitoring outside standard hours for extended training jobs
Role Summary Develop, train, and deploy generative AI models across the full ML lifecycle.
Key Responsibilities
Train and fine-tune models
Build training pipelines
Develop evaluation frameworks
Optimize inference performance
Integrate models into production
Collaborate with engineering teams
Document models and processes
Required Qualifications
3+ years ML engineering
Python + PyTorch
Generative model experience
ML fundamentals
Data pipeline experience
Linux/Docker/AWS familiarity
U.S. citizenship
Preferred Qualifications
Distributed training
Computer vision
LLMs or RAG
Production ML experience
What Success Looks Like
30 days: Learn systems
90 days: Deliver models
6 months: Production deployment
Compensation & Benefits
Fully paid medical, dental, and vision insurance premiums
10% company contribution to a Vanguard-sponsored 401(k) plan, vested immediately
7 weeks paid time off, accrued semi-monthly
Life, short-term, and long-term disability insurance
Dependent care and health FSA accounts
$5,000 annual professional development and tuition reimbursement
$200 monthly communication allowance
$2,000 technology allowance every two years
Employee equity plan
Referral, annual, and spot bonuses
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Languages
- English
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