Machine Learning Engineer

Machine Learning Engineer role focused on training, testing, deploying, and maintaining data-driven models for Booz Allen’s defense technology team.

Responsibilities

• Train, test, deploy, and maintain models that learn from data
• Implement AI to enable faster mission success
• Collaborate with data engineers, data scientists, solutions architects, and product owners to deliver solutions across a wide variety of AI use cases
• Guide clients on ML algorithms, tools, and frameworks
• Define the direction of mission-critical solutions

Requirements

• Experience with AI, data science, or ML engineering, including developing and deploying models
• Experience developing code using a common programming language: Python, C++, Rust, or Java
• Experience with data handling and model development
• Knowledge of Python coding and libraries, including scikit-learn, TensorFlow, or PyTorch
• Knowledge of deep learning, computer vision, or generative AI
• Ability to leverage AI productivity tools for coding, such as Cursor
• Ability to solve client issues and problems
• Secret clearance
• Bachelor’s degree

Technologies

• Python
• C++
• Rust
• Java
• scikit-learn
• TensorFlow
• PyTorch
• Cursor

Nice to Have

• Experience with generative and agentic AI technologies such as LLMs, MCP, LangChain, or LangGraph
• Experience with supervised and unsupervised learning

Security / Clearance

• Applicants selected will be subject to a security investigation
• May need to meet eligibility requirements for access to classified information
• Secret clearance is required

Identity Verification

• Complete an identity verification process using advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud
• Be on camera during interviews and assessments
• Booz Allen reserves the right to take your picture to verify identity and prevent fraud

Candidate AI Usage Policy

• Use of AI or other tools to assist with responses during interviews (in-person or virtual) is prohibited unless permission is explicitly provided

Work Model

• Onsite: work primarily performed full-time at a customer facility, with collaboration with colleagues and customers as required
• Employees working virtually are generally expected to have cameras on during meetings

Compensation

• Projected compensation range: $77,600 to $176,000 per year (annualized USD)
• Posting closes within 90 days from the posting date

Benefits

• Health
• Life
• Disability
• Financial benefits
• Retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care
• Recognition awards program acknowledging employees for exceptional performance and superior demonstration of the company’s values

Location: Arlington, VA (onsite)

Education: Bachelor’s degree

Commitment to Non-Discrimination

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