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

Clearance:

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

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