Machine Learning Engineer

Machine Learning Engineer

The Opportunity: 

As a programmer, 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:  

• 3+ years of experience with artificial intelligence, data science, or machine learning engineering, including developing and deploying MLE models

• 3+ years of 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 If You 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 in forms needed for business analysis

• Ability to create software for retrieving, parsing, and processing structured and unstructured data

• Master's degree

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance 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 $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

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.