Machine Learning Engineer
Overview Our clients, a rapidly growing/expanding AI-focused software development company supporting federal agencies, is seeking a Machine Learning Engineer.
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
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
