Artificial Intelligence and Machine Learning Technical Advisor
Support federal health research and development (R&D) organizations, including the Advanced Research Projects Agency – Health (ARPA-H), as a Technical Science, Engineering, and Technology Assistance (SETA) Advisor for programs related to artificial intelligence (AI) and machine learning (ML). Apply scientific and engineering subject matter expertise to help conceptualize, create, and execute advanced government-funded research and development programs to accelerate better health outcomes for everyone. Characterize the state of a technical field, including identifying state-of-the-art technologies and promising new approaches. Perform analyses to recommend ambitious technology performance targets that are on the cutting-edge of what might be achievable. Identify key technical experts across academia, industry, and national labs, perform technical outreach, and facilitate the formation of new multi-disciplinary technical communities. Review highly technical proposals and support negotiations of selected projects, including advising on project plans and technical milestones for complex R&D projects. Perform direct and periodic technical oversight of the project portfolio, from set-up to close-out and assist the client with managing projects to achieve clear and compelling outcomes.
2+ years of experience with post-doctoral training or as an AI Research Scientist, ML Engineer, or Data Scientist specialized in AI/ML
Experience with a model that utilizes cutting-edge AI techniques, such as large language models, transformer-based models, state space models, or variational autoencoders
Ability to show at least 2 first author publications in the AI or ML field
Ability to obtain a security clearance
Master's degree in Computer Science, Artificial Intelligence, or Machine Learning
Additional Qualifications:
Experience developing novel AI/ML solutions for healthcare-related applications a plus
Experience with synthetic data generation, augmentation and analysis a plus
Experience with cloud-based large data warehousing solutions, data lakes, and ETL processes in a cloud environment or terabyte and petabyte scale a plus
Ability to develop and convey meaningful insights, significant contributions, and recommendations to address complex client issues
Ability to learn, grow, and develop new skillsets
Ability to display creativity and resourcefulness
Ability to ask insightful questions that challenge traditional thinking
Possession of excellent verbal and written communication skills
Possession of excellent data gathering, analytical, problem-solving, and client service skills
Doctorate degree in Computer Science, Artificial Intelligence, or Machine Learning 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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Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $93,300.00 to $212,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.
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