Related skills
docker python kubernetes tensorflow pytorch📋 Description
- Build and evaluate ML models for mission use cases with government stakeholders.
- Develop and maintain training, fine-tuning, and benchmarking pipelines.
- Create repeatable evaluation pipelines across architectures and datasets.
- Integrate models into production-ready [R]AIMS platform, containerized and observable.
- Support experimentation; surface findings to AI leadership and stakeholders.
🎯 Requirements
- 3 to 6 years of hands-on experience building/shipping production software or AI/ML systems.
- Strong Python software engineering; production-quality code.
- Experience developing and evaluating ML models with rigorous evaluation.
- Hands-on familiarity with PyTorch, TensorFlow, JAX, or Hugging Face.
- Experience building model training pipelines and experimentation workflows; distributed/cloud-native envs.
- U.S. citizenship required; eligible for TS/SCI clearance; active clearance preferred.
🎁 Benefits
- Highly competitive salary
- Fully covered healthcare, dental, and vision
- 401(k) and company match
- Take as you need PTO + 11 paid holidays
- Education & training benefits
- Generous referral bonuses
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!