Machine Learning Engineer, Lead

Key Role:

Process data and information at massive scale with machine learning technologies. Apply leading-edge principles, theories, and concepts; contribute to the development of new principles and concepts. Work on unusually complex problems and provides highly innovative solutions. Operate with substantial latitude for unreviewed action or decision; mentor or supervise employees in both firm and technical competencies.

Basic Qualifications:

-5+ years of experience within leading engineering, data science, data analytics, or software development activities and teams

-Experience with artificial intelligence data strategy and project management within the DoD or other government organizations

-Ability to present on technical methodologies, tradeoffs and value propositions to executive level clients and internal team leadership

-Ability to obtain a security clearance

-BA or BS degree

Additional Qualifications:

-Experience with designing and implementing machine learning (ML) training methods that produce measurable benefits to both research and industry consumers in the areas of autonomous, distributed and federated ML systems

-Experience with leading ML engineering teams to research, develop and implement ML model optimization and evaluation techniques specifically for autonomous, and edge or embedded HW systems

-Experience with integration techniques, including model regularization, pruning, quantization, bias and vulnerability assessments and performance, latency, accuracy, size of model, throughput, energy efficiency and reproducibility (PLASTER) criteria

-Secret clearance preferred

-PhD preferred


Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or other protected characteristic—to fearlessly drive change.

Not ready to apply? Join our talent community and sign up for job alerts.