AI Security Scientist

USA, MD, Annapolis Junction (304 Sentinel Dr) - Non Client Site, United States

Booz Allen Hamilton

Using tomorrow’s technologies, Booz Allen advances the nation’s most critical civil, defense, and national security missions.

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AI Security Scientist

The Opportunity:
As an AI Security Scientist, you will focus on identifying, measuring, and mitigating AI vulnerabilities to evasion attacks, privacy attacks, data poisoning attacks, and misuse of large language models. You will help research, develop, and implement adversarial machine learning algorithms and execute AI red teaming operations for clients across both the private and public sectors. You'll serve as the client interface and maintain responsibility across the entire AI security lifecycle, including requirements gathering and analysis, process and systems definition, data analysis, presentation of analysis to clients in a format they can digest, and development of algorithm driven products and solutions.

Join us. The world can’t wait.

You Have:

  • 5+ years of experience programming in Python

  • Experience with machine learning, including adversarial machine learning methods

  • Knowledge of adversarial machine learning, large language models, or differential privacy

  • Knowledge of mathematics and statistics, including coursework in the theory of probability, statistical inference, algorithms, linear algebra, and calculus

  • Ability to communicate results to both technical and non-technical audiences effectively

  • TS/SCI clearance with a polygraph

  • Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, Applied Mathematics, or Engineering

Nice If You Have:

  • Experience with application areas of machine learning, including computer vision, large language models, natural language processing, and learning on graphs

  • Experience with Bayesian deep learning and Gaussian processes

  • Experience building complex data pipelines

  • Experience using GPUs for machine learning using frameworks, including PyTorch or TensorFlow

  • Knowledge of cloud systems, including AWS, Azure, or GCP

  • Ability to work independently on complex tasks

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

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 $96,600.00 to $220,000.00 (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.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

  • If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
  • If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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Tags: AWS Azure Bayesian Computer Science Computer Vision Data analysis Data pipelines Deep Learning Engineering GCP Linear algebra LLMs Machine Learning Mathematics NLP Physics Pipelines Privacy Python PyTorch Research Security Statistics TensorFlow

Perks/benefits: Career development Health care

Regions: Asia/Pacific North America
Country: United States

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