Base: $80,000 - $110,000; bonus/equity: not specif...
End-to-end ml system development
Pytorch and scikit-learn framework experience
Ci/cd and docker-based deployment
The role involves building, deploying, and sustaining end-to-end machine learning capabilities to support U.S. national security missions
Job Summary
The role involves building, deploying, and sustaining end-to-end machine learning capabilities to support U.S. national security missions.
Candidates must demonstrate the ability to translate technical problems into robust ML solutions spanning data curation, model development, and operational delivery.
Successful applicants will collaborate with government agencies and industry partners to deliver actionable insights through research and development in intelligence analysis and cybersecurity.
Matching Summary
The role involves building, deploying, and sustaining end-to-end machine learning capabilities to support U.S. national security missions.
Salary
Base: $80,000 - $110,000; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
End-to-end ML system development
PyTorch and scikit-learn framework experience
CI/CD and Docker-based deployment
Natural language processing methods
Computer vision application development
FastAPI and React front-end integration
Nice-to-have
Interdisciplinary team collaboration skills
Government stakeholder briefing experience
Rapid prototyping capabilities
Postgres vector database knowledge
Interactive application development
Key Requirements
Must be able to obtain a U.S. Secret security clearance
U.S. citizenship required for classified access
Bachelor's degree in Computer Science or related field
Master's degree preferred for mid-level roles
PhD required for senior research engineer tracks
2+ years of relevant technical experience for entry level