Base: $80,000 - $110,000; bonus/equity: not specif...
End-to-end ml system development
Natural language processing methods
Computer vision techniques
The role involves building, deploying, and sustaining end-to-end machine learning capabilities to support U.S. national security missions at the University of Maryland's ARLIS
Job Summary
The role involves building, deploying, and sustaining end-to-end machine learning capabilities to support U.S. national security missions at the University of Maryland's ARLIS.
Candidates will apply core ML theory using libraries like PyTorch and scikit-learn while deploying systems via CI/CD, workflow orchestration, and Docker-based environments.
Successful applicants must be able to obtain a U.S. Secret security clearance and communicate complex technical work effectively to government stakeholders.
Matching Summary
The role involves building, deploying, and sustaining end-to-end machine learning capabilities to support U.S. national security missions at the University of Maryland's ARLIS.
Salary
Base: $80,000 - $110,000; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
End-to-end ML system development
Natural language processing methods
Computer vision techniques
PyTorch and scikit-learn frameworks
CI/CD and Docker deployment practices
FastAPI and React application development
Nice-to-have
Interdisciplinary team collaboration
Government stakeholder communication
Rapid prototyping capabilities
Postgres and MongoDB database experience
Key Requirements
Must obtain U.S. Secret security clearance
U.S. citizenship required
Bachelor's degree in Computer Science or related field
2+ years of relevant technical experience
Experience with data selection and model evaluation