Engineering Manager – Machine Learning Engineering

The Aerospace Corporation is the trusted partner to the nation’s space programs, solving the hardest problems and providing unmatched technical expertise. As the operator of a federally funded research and development center (FFRDC), we are broadly engaged across all aspects of space— delivering innovative solutions that span satellite, launch, ground, and cyber systems for defense, civil and commercial customers. When you join our team, you’ll be part of a special collection of problem solvers, thought leaders, and innovators. Join us and take your place in space.

Information Systems and Cyber Division (ISCD) staff couple the latest in information system technologies, such as elastic compute clouds, containerization, microservices, real-time operating systems, and visualization frameworks, with expertise in cyber security, software architecture, software engineering, data science, Artificial Intelligence, process improvement, and software development to deliver responsive, resilient, high-performance software intensive systems to our Intelligence Community, DoD, and civilian customers.

The Engineering Manager of Machine Learning Engineering (MLE) leads a team of engineers and technical staff in developing and deploying cutting-edge data science, artificial intelligence (AI), and machine learning (ML) solutions. This role bridges the gap between innovation and implementation, transforming proof-of-concept models into production-ready applications that deliver real business value. This position is a critical leadership role that coordinates technical assignments, deliverable execution, customer relationships, career development, technical consultation, and overall direction. The Engineering Manager provides leadership to the MLE section and contributes to technical projects that solve customer problems.

Work Model

This is a full-time position based in Chantilly, VA

What You’ll Be Doing

• Provides task planning, schedule, and labor estimates for proposed technical work assignments. Advises supervision of resources needs and capabilities. Provides inputs for budgetary planning.

• Participates in day-to-day technical activities and task accomplishments. Monitors and evaluates processes, techniques, and performance. Reviews documentation and delivery of services.

• Works closely with customers to coordinate tasking, report progress, resolve technical issues, and assure project success. Initiates and coordinates exchanges of technical information with other work groups and organizations. Prepares written and oral reports of organization’s activities, issues, and accomplishments to higher management, subordinates, and teaming organizations.

• Recommends staffing needs, reassignments, transfers, and terminations. Recommends and assists evaluation of potential staff additions. Conducts performance reviews, recommends performance improvements, career development, and promotional actions.