The Opportunity

Do you enjoy creating innovative solutions to complex challenges while working within a community of dynamic technology professionals? As an experienced data professional, you know that machine learning is critical to understanding and processing massive datasets. We need your technical expertise to support federal healthcare.

Job Details

Remote Work: Hybrid

Job Number: R0226170

Location: Washington, DC, US

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Responsibilities

As a machine learning engineer, you\'ll be responsible for breaking down use cases, designing, and implementing complex system modules, interfaces, and features. You\'ll leverage your technical expertise in AI. You\'ll develop new robust, secure, and performant production-grade software. You’ll use your communication skills to work with a team to build, test, and operate system capabilities.

You’ll leverage your expertise with full-stack web application development, experience with software design and implementation on large codebases, and learn new languages, technologies, and codebases quickly. You will apply your expertise with AI - GenAI, Agentic AI, and LLMs, and work independently while collaborating with a team to build complex features, integrations, and modules. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. If you have the drive to solve real-world challenges and define ML strategy for healthcare in federal government, there’s a place for you here.

You Have

• 2+ years of experience with machine learning engineering, including in an academic or professional environment
• Experience with natural language processing and language models
• Experience with RAG and Generative AI techniques
• Experience with programming in Python, Java, or C++
• Secret clearance
• Bachelor's degree

Nice If You Have

• Experience with developing software architectures with containerization tools, including Docker and Kubernetes
• Experience with machine learning, including linear, reinforcement learning, tree based, or deep learning-based methods and regularization approaches
• Experience with databases, including SQL
• Experience with software development, including API development or database management, and model deployment and usage with Javascript frameworks, including React, Angular, or Node.js
• Knowledge of AWS, Azure, and GCP
• Ability to work in a Linux environment with Bash scripting
• 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. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). 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.