Remote Machine Learning Engineer — Space Mission AI

Booz Allen Hamilton; Aurora (CO); On-site; USD 78,000 - 176,000; Full time

Benefits offered by this job

Health benefits

Retirement benefits

Tuition assistance

Job summary

Booz Allen Hamilton is seeking a Machine Learning Engineer to develop and deploy ML models for space-related applications. You will train, test, and maintain models, collaborating with data scientists, physicists, and systems engineers to deliver mission-ready AI solutions.

The role requires cloud experience (AWS/Azure/Google), Kubernetes, and strong programming in Python/Java/C++. TS/SCI clearance is required, with a STEM bachelor’s degree. This is a full-time opportunity.

Qualifications

• Experience with cloud-based ML workloads on AWS, Azure, or Google Cloud.
• Kubernetes experience for orchestration and deployment.
• Hands-on experience in data science or machine learning.
• Proficiency in Python, Java, or C++ programming languages.
• TS/SCI clearance is required.
• Bachelor's degree in a STEM field or equivalent.

Responsibilities

• Train, test, deploy, and maintain ML models.
• Define ML strategy and apply best-fit algorithms for space projects.
• Collaborate with data scientists, physicists, and systems engineers to deliver solutions.
• Develop agentic AI capabilities for mission-critical systems.

Skills

Cloud platforms

Kubernetes

ML / data science

Programming languages

Security clearance

Education

Bachelor's degree

Job description

Booz Allen Hamilton is seeking a Machine Learning Engineer to develop and deploy ML models for space-related applications. You will train, test, and maintain models, collaborating with data scientists, physicists, and systems engineers to deliver mission-ready AI solutions.

The role requires cloud experience (AWS/Azure/Google), Kubernetes, and strong programming in Python/Java/C++. TS/SCI clearance is required, with a STEM bachelor’s degree. This is a full-time opportunity.