Space ML Engineer — Production AI & MLOps

The Aerospace Corporation; Chantilly (VA); On-site; USD 110,000 - 130,000; Full time

Job summary

The Aerospace Corporation in Chantilly, VA is seeking a Senior Machine Learning Engineer to translate cutting-edge AI research into robust, scalable ML solutions. You will lead experiments, architect ML software, and collaborate across cross-functional teams to deliver production-ready capabilities for national security space missions.

Requirements include a Bachelor's or Master’s in a technical field, 5+ years in ML roles, strong Python/C/C++, Docker/Kubernetes, and MLOps experience, plus US

Qualifications

• Bachelor's or Master's degree in Computer Science, Computer Information Systems, Electrical or Computer Engineering or related technical field(s)
• 5+ years of experience in Data Scientist or Machine Learning Engineer or AI/ML Researcher role in any domain
• Strong proficiency in at least two programming languages (Python, R, C/C++) and ML libraries in Python
• Hands on experience with container orchestration tooling (Docker, Kubernetes)
• Experience with AI-focused software engineering concepts (MLOps/DevOps, ML Development Lifecycle, data structures)
• Working knowledge of Unix/Linux operating systems
• Requires ability to obtain and maintain US security clearance; U.S citizenship is required

Responsibilities

• Evaluation of technologies for scalable and resilient mission-critical applications in production
• Coordinated development and execution of AI/ML experiments
• Coordinated development of proof-of-concept infrastructure configuration and software prototypes
• Collaboration with small, innovative teams to deliver features and products
• Written and verbal presentation of results to team members and stakeholders
• Reinforcing an environment of learning and progress with team members and others
• Focus on accountability and innovation in leadership competency development

Skills

Python

R

C/C++

Docker

Kubernetes

MLOps

Unix/Linux

Cloud platforms

ML/AI

Data engineering

Education

Bachelor's or Master's in Computer Science or related field

Tools

MLFlow

Kubeflow

Neptune

Airflow

DVC

Job description

The Aerospace Corporation in Chantilly, VA is seeking a Senior Machine Learning Engineer to translate cutting-edge AI research into robust, scalable ML solutions. You will lead experiments, architect ML software, and collaborate across cross-functional teams to deliver production-ready capabilities for national security space missions.

Requirements include a Bachelor's or Master’s in a technical field, 5+ years in ML roles, strong Python/C/C++, Docker/Kubernetes, and MLOps experience, plus US