Booz Allen Hamilton is hiring a Machine Learning Engineer to build AI that drives innovation for the DoD market. You will own and define the direction of mission-critical solutions, implementing AI that enables faster mission success.
What You'll Do
- Train, test, deploy, and maintain machine learning 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 solutions for 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 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 supervised and unsupervised learning.
- 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.
- Ability to develop and maintain scalable data stores that supply big data.
- Ability to create software for retrieving, parsing, and processing structured and unstructured data.
- Master's degree.
Technical Stack
- Python, scikit-learn, TensorFlow, PyTorch
- C++, Rust, Java
- Generative AI, LLMs, LangChain, LangGraph
Team & Environment
You will 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
- Compensation: $77,600.00 to $176,000.00 (annualized USD)
- Health, life, and disability insurance
- Financial and retirement benefits
- Paid leave
- Professional development and tuition assistance
- Work-life programs and dependent care
- Recognition awards program
Work Mode
This role offers a hybrid work mode.
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.
