Machine Learning Engineer Job at RAZOR in Reston

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