Machine Learning Engineer at 631 Booz Allen Hamilton_United States — Arlington, VA

Machine Learning EngineerThe Opportunity:

As an experienced AI and ML engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support innovation across the DoD market. As a machine learning engineer on our defense technology team, you’ll train, test, deploy, and maintain models that learn from data.

In this role, you’ll own and define the direction of mission-critical solutions by implementing AI that enables faster mission success. You’ll be part of a large community of machine learning engineers across the company and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions to implement a wide variety of AI use cases. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.

Work with us to solve real-world challenges and define AI strategy for national security.

Join us. The world can’t wait.

You Have:

• 2+ years of experience with artificial intelligence, data science, or machine learning engineering, including developing and deploying models
• Experience with generative and agentic AI technologies, such as LLMs, MCP, LangChain, or LangGraph
• Experience with developing code using a common programming language, including Python, C++, Rust, or Java
• Experience with deep learning, computer vision, or generative AI
• Experience with data handling and model development
• Experience leveraging AI productivity tools for coding, such as Cursor
• Ability to solve client issues and problems
• Secret clearance
• Bachelor's degree

Nice If You Have:

• Experience with Python coding and libraries, including scikit-learn, TensorFlow, or PyTorch
• Experience with supervised and unsupervised learning

Clearance:

Compensation

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 $77,600.00 to $176,000.00 (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

Candidate AI Usage Policy

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination