Booz Allen Hamilton is looking for a Machine Learning Engineer to join our defense technology team. You'll have direct ownership over building and deploying models that learn from data to solve real-world challenges for national security. Our people-first culture prioritizes flexibility and collaboration.
What You'll Do
- Train, test, deploy, and maintain models that learn from data.
- Own and define the direction of mission-critical solutions by implementing AI that enables faster mission success.
- Collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions for a wide variety of AI use cases.
- Guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.
- Solve real-world challenges and define AI strategy for national security.
What We're Looking For
- 3+ years of experience with artificial intelligence, data science, or machine learning engineering, including developing and deploying MLE models.
- Experience with Python coding and libraries, including scikit-learn, TensorFlow, or PyTorch.
- 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.
- Ability to solve client issues and problems.
- Secret clearance.
- Bachelor's degree.
Nice to Have
- Experience with generative and agentic AI technologies, such as LLMs, MCP, LangChain, or LangGraph.
- Experience with supervised and unsupervised learning.
- Ability to develop and maintain scalable data stores that supply big data in forms needed for business analysis.
- Ability to create software for retrieving, parsing, and processing structured and unstructured data.
- Master's degree.
Technical Stack
- Languages: Python, C++, Rust, Java
- Libraries/Frameworks: scikit-learn, TensorFlow, PyTorch
- AI Technologies: LLMs, MCP, LangChain, LangGraph
Team & Environment
You'll be part of a large community of machine learning engineers across the company, collaborating closely with data engineers, data scientists, solutions architects, and product owners.
Benefits & Compensation
- Annualized compensation range: $77,600.00 to $176,000.00 (USD)
- Health, life, disability, financial, and retirement benefits.
- Paid leave.
- Professional development and tuition assistance.
- Work-life programs and dependent care support.
- Recognition awards program.
Work Mode
This position follows a hybrid work model.
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.
