Engineering Manager – Machine Learning and Applied Artificial Intelligence

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 the Data Science Applications (DSA) section provides direction and coordination of the engineering and technical staff for advancing data science and artificial intelligence (AI) and machine learning (ML) solutions. 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 DDAR section and contributes to technical projects that solve customer problems.

This is a full-time position based in Colorado Springs, CO, El Segundo, CA, or Chantilly, VA.

• 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.
• Implements policies, practices, and operating processes and recommends changes and improvements to supervision.
• Responsible for compliance with security monitoring, processes, and recommendations.
• Participates in inter-organizational team assignments and educational activities.
• Identifies opportunities for additional, expanded, and new business.
• Aids in the evaluation and pursuit of new business opportunities.
• Supervises and provides technical direction to engineering and engineering support staff involved in design and development efforts on shorter-range or discrete product outputs.
• Assigns specific task responsibilities to engineering and support personnel to achieve work schedule requirements.
• Specifies, monitors, and evaluates techniques and operating procedures.

• Bachelor’s degree in STEM with emphasis in Data Science, Computer Science, Electrical or Computer Engineering, Physics, Mathematics, or related field(s); 6 or more years of increasingly responsible professional engineering/scientific experience.
• Experience as a data scientist, machine learning engineer, or AI/ML researcher in any domain.
• Proven ability to lead and mentor team members while providing clear direction.
• Experience with and understanding of machine learning and artificial intelligence, software engineering, and statistics.
• Proven ability to take initiative and…