Machine Learning Engineer

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.

At Aerospace, we are committed to providing an inclusive and diverse workplace for all employees to share in our common passion and aspiration – to carry out a mission much bigger than ourselves.

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 Data Science and Artificial Intelligence Department (DSAID) seeks a creative and enthusiastic Machine Learning Engineer to join a diverse team of engineers, data scientists, and programmers with a passion for researching, prototyping, understanding, and building AI and data enabled tools across the space enterprise.  We are a growing, innovative, and collaborative department that makes meaningful contributions to National Security Space (AF, NRO, etc.), and Civil and Commercial customers (NASA, MDA, DHS, etc.).  

This positions specifically is for the Machine Learning Engineering section, where we focus on translating cutting-edge AI research into robust, scalable, and production-ready machine learning solutions. We bridge the gap between theoretical ML solutions and real-world impact by optimizing and scaling ML models, designing and building robust ML software architectures, providing expertise in harnessing the latest advancements in compute hardware, and implementing MLOps and Trusted AI best practices.

Machine Learning Engineers contribute to projects involving one or more of the following disciplines: Data Science, Applied Machine Learning, Deep Learning, Machine Learning Architecture Design, Machine Learning Operations (MLOps), Natural Language Processing, Artificial Intelligence, and Computer Vision

Work Model

This is a fulltime position based in Chantilly, Va, offering a hybrid work model that combines 3 regular onsite workdays and remote flexibility as the business needs allow. 

What You’ll Be Doing

• DSAID’s customers range from National Security Space (AF, NRO, etc.) to civil (NASA, NOAA, etc.) and commercial (commercial space, autonomous vehicles, etc.)
• DSAID applies data science and AI knowledge across the space enterprise, to Aerospace enterprise capabilities, and towards corporate workforce development and strategic focus areas
• Machine Learning Engineers learn and develop their skills by working on teams spanning disciplines, experience levels, and organizational boundaries.
• Primary functions include:
  • Evaluation of technologies for use in scalable and resilient mission-critical applications in a production environment
  • Coordinated development and execution of 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
• Duties, responsibilities and activities may change, or new ones may be assigned as needed
• Machine learning engineers must maintain a commitment to ongoing learning in order to stay current with government missions and the ever-changing climate of data science and AI. This requires both ongoing education in relevant domains, such as physics, math, and/or computer science, as well as an understanding of the existing systems and future objectives of government missions.

What You Need to be Successful

Minimum Requirements for the Machine Learning Engineer- Senior Member of Technical Staff

• Bachelors degree STEM or in Computer Science, Computer Information Sys