Machine Learning Engineer

Razor Talent

Reston, VA

JOB DETAILS
SALARY
$140,000–$180,000 Per Year
SKILLS
Amazon Web Services (AWS), Artificial Intelligence (AI), Computer Vision, Data Management, Dental Insurance, Docker, Documentation Models, Federal Government, Federal Laws and Regulations, Flexible Spending Accounts, High Tech Industry, Internet Security, Law Enforcement, Linux Operating System, Machine Learning, Performance Tuning/Optimization, Problem Solving Skills, Process Modeling, Python Programming/Scripting Language, Software Administration, Software Development, Startup, United States Citizen, Vision Plan, Work From Home
LOCATION
Reston, VA
POSTED
30+ days ago
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 Company

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Razor Talent