Machine Learning Engineer

About the Role

As a Machine Learning Engineer, you will develop AI-native solutions incorporating multiple disciplines spanning software development, platform integration, cloud engineering, and the latest AI tooling such as Bedrock or LLM, LangChain or LangGraph, Agentic workflows. You’ll contribute to the direction of mission-critical solutions by applying best-fit AI technologies and emerging AI-native processes or workflows. Collaborate with full-stack software engineers, data scientists, solutions architects, and defense mission experts to deliver world-class solutions and new software capabilities with high velocity for the U.S. Space Force.

Responsibilities

• Develop and deploy machine learning models and AI-native solutions.
• Apply AI/ML algorithms, full-stack development, DevSecOps, tools, and frameworks to solve real-world challenges.
• Collaborate with cross-functional teams including software engineers, data scientists, and solutions architects.
• Support the U.S. Space Force by defining and implementing AI strategy.
• Work with Agentic workflows, deep learning, computer vision, or generative AI.
• Iterate rapidly and deliver results in both team and individual capacities.

Requirements

• 2+ years of experience with artificial intelligence, data science, or machine learning engineering, including developing and deploying models.
• Experience with developing code using a common programming language, such as Python.
• Experience with deep learning, computer vision, or generative AI.
• Experience with data handling and model development.
• Experience with leveraging AI productivity tools for coding, such as Cursor.
• Experience with the Agile software development lifecycle and full-stack web application development.
• Knowledge of JavaScript or TypeScript, Python, and HTML or CSS.
• Ability to solve complex and critical problems.
• Secret clearance required.
• Bachelor’s degree.

Nice to Have

• Experience with integration of LLMs and Agentic Workflows within software stacks.
• Experience with Rust or Java.
• Experience with Python coding and libraries, including scikit-learn, TensorFlow, or PyTorch.
• Knowledge of AWS, Azure, GCP, Databricks, and Palantir Foundry.

Benefits

• Health, life, disability, financial, and retirement benefits.
• Paid leave, professional development, tuition assistance, work-life programs, and dependent care.
• Recognition awards program for exceptional performance and superior demonstration of company 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.

Pay

The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). Salary is determined by various factors, including location, education, knowledge, skills, competencies, experience, and contract-specific affordability and organizational requirements.

Schedule

This posting will close within 90 days from the posting date.

Work model expectations:

• Remote: Primarily remote, with occasional in-person work at a Booz Allen or customer facility.
• Hybrid: Frequent work from a Booz Allen facility, with potential visits to customer facilities.
• Onsite: Work primarily performed at a Booz Allen office or customer facility.

Employees working virtually are generally expected to have their cameras on during meetings to support engagement and effective communication.