Applied Machine Learning Engineer

The Aerospace Corporation is seeking a full-time Applied Machine Learning Engineer to help translate advanced AI research into production-ready, scalable, resilient machine learning solutions. This 100% onsite role is based in Chantilly, VA, supporting mission needs across national security space, civil space, and commercial applications. You will collaborate with small, innovative teams and help drive learning, accountability, and continuous progress.

What You’ll Do

• Support customers from National Security Space (AF, NRO, etc.) to civil (NASA, NOAA, etc.) and commercial space use cases such as autonomous vehicles
• Apply data science and AI knowledge across the space enterprise, including enterprise capabilities, workforce development, and strategic focus areas
• Evaluate technologies for use in scalable, resilient, mission-critical applications in a production environment
• Coordinate the development and execution of AI/ML experiments
• Coordinate development of proof-of-concept infrastructure configurations and software prototypes
• Collaborate with teams to deliver features and products
• Present results through written and verbal communication to team members and stakeholders
• Maintain an environment of learning and progress, with a focus on accountability and innovation in leadership competency development
• Commit to ongoing learning to stay current with evolving government missions and changes in data science and AI
• Support duties as responsibilities evolve, including possible reassignment of activities as needed

What We’re Looking For

• Bachelor’s or Master’s degree in Computer Science, Computer Information Systems, Electrical or Computer Engineering, or a related technical field
• 5+ years of experience in a Data Scientist or Machine Learning Engineer or AI/ML Researcher role (any domain)
• Strong proficiency in at least two programming languages (examples include Python, R, C/C++) and familiarity with machine learning and deep learning libraries in Python
• Hands-on experience with container orchestration tooling such as Docker and Kubernetes
• Experience with software engineering concepts with an AI focus, including MLOps/DevOps, ML Development Lifecycle, and data structures
• Working knowledge of Unix/Linux
• Ability to obtain and maintain a security clearance issued by the US government; U.S. citizenship is required
• Demonstrated enterprise-scale experience, including 8+ years in relevant roles and evidence of architecting, designing, or implementing enterprise AI/ML solutions with multiple tenants and cloud integration
• Hands-on experience with MLOps and data engineering tools such as MLFlow, Kubeflow, Neptune, Airflow, and DVC
• Additional impressive experience may include: advanced degree; designing or managing enterprise ML platforms; ML platform and production model deployment at scale; familiarity with HPC hardware (GPUs/TPUs), CUDA, and advanced optimization; exercising scientific critical thinking; guiding teams on software best practices; SQL/NoSQL/Cypher; big data frameworks (Hadoop, Spark, Flink); streaming and data pipelining technologies (Apache Kafka, temporal); open-source contributions (GitHub, Kaggle); deploying ML models on AWS/Azure; domain expertise for mission areas such as USSF/NRO; active security clearance

Tech You’ll Work With

Python, R, C/C++, Docker, Kubernetes, Unix/Linux, MLOps, DevOps, ML Development Lifecycle, MLFlow, Kubeflow, Neptune, Airflow, DVC, SQL, NoSQL, Cypher, Hadoop, Spark, Flink, Apache Kafka, temporal, GitHub, Kaggle, AWS, Azure, GPUs, TPUs, CUDA

Benefits

• Comprehensive health care and wellness plans
• Paid holidays, sick time, and vacation
• Standard and alternate work schedules, including telework options
• 401(k) Plan: total company-paid benefit of 8%, 10%, or 12% of eligible compensation based on years of service and matching contributions; employees are immediately eligible and vested upon hire
• Flexible spending accounts
• Variable pay program for exceptional contributions
• Relocation assistance
• Professional growth and development programs
• Education assistance programs
• Inclusive work environment built on teamwork, flexibility, and respect

Leadership Competencies

• Operate Strategically
• Lead Change
• Engage with Impact
• Foster Innovation
• Deliver Results

Salary range: USD 110,400 - 193,500 per year.

Location: Chantilly, VA (onsite).