Machine Learning Engineer

Join a culture of empowerment and connectivity.

Learn the skills you need to accelerate your career.

Discover benefits that your life and work.

Build mission-ready tech that protects the nation.

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 the space industry. As a machine learning engineer on our space team, you’ll train, test, deploy, and maintain models that learn from data.

In this role, you’ll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll grow within a talented team of machine learning engineers across the company and collaborate with data scientists, physicists, and systems engineers to deliver world-class solutions to develop agentic AI solutions. Your skills and technical experience will help your clients navigate the landscape of ML algorithms, tools, and frameworks.

Work with us to solve real-world challenges and define ML strategy for intelligence community space projects.

You Have:

• Experience with operationalizing software in the cloud such as AWS, Microsoft Azure, or Google
• Experience with Kubernetes
• Experience with data science or machine learning
• Knowledge of python, java, or c++ programming
• TS/SCI clearance
• Bachelor's degree

Nice If You Have:

• Experience with machine learning operations pipelines
• Ability to deploy software into a production environment
• TS/SCI clearance with a polygraph
• Bachelor's degree in a STEM field
• Security+ Certification

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 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 $ (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.

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 the space industry. As a machine learning engineer on our space team, you’ll train, test, deploy, and maintain models that learn from data.

In this role, you’ll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll grow within a talented team of machine learning engineers across the company and collaborate with data…