Machine Learning Engineer

OverviewOur clients, a rapidly growing/expanding AI-focused software development company supporting federal agencies, is seeking a Machine Learning Engineer.bout the OrganizationDelivers 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 LocationMcLean, VA or Columbia, MDHybrid environment with flexibility for remote workOn-site presence expected 2-3 days per week for team collaborationSchedule: Monday-Friday; occasional monitoring outside standard hours for extended training jobsRole SummaryDevelop, train, and deploy generative AI models across the full ML lifecycle.Key ResponsibilitiesTrain and fine-tune modelsBuild training pipelinesDevelop evaluation frameworksOptimize inference performanceIntegrate models into productionCollaborate with engineering teamsDocument models and processesRequired Qualifications3+ years ML engineeringPython + PyTorchGenerative model experienceML fundamentalsData pipeline experienceLinux/Docker/AWS familiarityU.S. citizenshipPreferred QualificationsDistributed trainingComputer visionLLMs or RAGProduction ML experienceWhat Success Looks Like30 days: Learn systems90 days: Deliver models6 months: Production deploymentCompensation & BenefitsFully paid medical, dental, and vision insurance premiums10% company contribution to a Vanguard-sponsored 401(k) plan, vested immediately7 weeks paid time off, accrued semi-monthlyLife, short-term, and long-term disability insuranceDependent care and health FSA accounts$5,000 annual professional development and tuition reimbursement$200 monthly communication allowance$2,000 technology allowance every two yearsEmployee equity planReferral, annual, and spot bonuses