Machine Learning Engineer

Remote in Reston, VA, US • Posted 8 hours ago • Updated 8 hours ago
Full Time
On-site
USD $140,000.00 - 180,000.00 per year
Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

  • Software Development
  • Law Enforcement
  • Artificial Intelligence
  • Cyber Security
  • Startups
  • Creative Problem Solving
  • Generative Artificial Intelligence (AI)
  • Evaluation
  • Collaboration
  • Python
  • PyTorch
  • Extract
  • Transform
  • Load
  • Linux
  • Docker
  • Amazon Web Services
  • Training
  • Computer Vision
  • Machine Learning (ML)
  • Insurance
  • FSA
  • Professional Development
  • Communication

Summary

Overview

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

bout 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91123694
  • Position Id: cc95e094bcb167110903e88ca4354290
  • Posted 8 hours ago
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