The Opportunity: 

As an experienced engineer, you know that machine learning (ML) 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 develop AI/ML solutions for challenging customer problems. As an ML engineer on our national security 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 applying best-fit ML algorithms and technologies. You’ll be part of a large community of ML engineers across the company and collaborate with data scientists, solutions architects, subject matter experts, product owners, and end users to deliver world class AI/ML solutions to a wide variety of national security problems. 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 national security challenges in AI/ML.

Join us. The world can’t wait. 

You Have:  

• 3+ years of experience in AL/ML-based solutions, including Python programming and deep learning frameworks such as PyTorch, TensorFlow, or Keras
• Experience developing Natural Language Processing (NLP), Large Language Models (LLM), and Retrieval-Augmented Generation (RAG)-enabled solutions
• Experience applying AI/ML research to develop AI/ML solutions
• Knowledge of core AI/ML concepts, including clustering, regression, classification, algorithm selection, and model evaluation
• Knowledge of the Software Development Life Cycle (SDLC) and commonly used tools such as Git
• Ability to work independently with limited guidance and direction
• TS/SCI clearance with a polygraph
• Bachelor's degree in a CS, AI, Mathematics, or Statistics field

Nice If You Have:  

• Experience in rapid prototyping or developing proofs of concepts to demonstrate or validate AI/ML capabilities
• Experience deploying AI/ML solutions into production environments using end-to-end model pipelines and tools such as Docker or Kubernetes
• Experience with AI agent frameworks, including LangChain or LlamaIndex
• Experience fine-tuning large-scale models for domain-specific tasks in secure or fully isolated, air-gapped environments
• Experience leading small teams of AI/ML developers or researchers
• Experience with high performance computing
• Experience with major cloud platforms such as AWS, and their respective AI services such as SageMaker
• Experience with data analysis and creation of data-driven visualizations
• Master’s degree in CS, AI, Mathematics, Statistics, or a related field

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph 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.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• 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

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.