Machine Learning Engineer – Generative AI

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. 

We are looking for a Machine Learning Engineer – ML Applications/Generative AI (Sr.MTS/Engineering Specialist – Computer Engineering | AI/ML) who can lead development of publicly available and Aerospace models into deployed applications to serve a variety of needs across the space industry. This individual will have a significant role in defining the Data Science and AI Department’s ML Platform and software development practices and help charter its scope relative to other departments within ISCD. 

Work Model 

This is a full-time position based in El Segundo (CA), Colorado Springs (CO), and 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  

• This role is for an individual who can join us in revolutionizing how Data Science and ML development is conducted within the company by helping DSAID define and streamline its ML platform, application interfaces, and deployment processes. 

• Developing, deploying, and maintaining machine-learning applications to serve a variety of government, commercial, and internal customers in the space industry. 

• Contributing as a technical lead to DSAID’s internal ML platform, code/pipeline repositories, and our software/ML engineering best practices. 

• Proactively engaging with other departments within and external to ISCD to determine application interfaces and use-cases. 

• Leading and mentoring junior staff in reviewing code and adoption of best practices. 

What You Need to be Successful  

Minimum Requirements for the Machine Learning Engineer – Generative AI (Senior Member of Technical Staff- Computer Engineering | AI/ML) 

• Bachelor’s degree in STEM, Computer Science or a related technical  field. 

• 4 years of experience with Machine Learning and Data Science methodologies. 

• Two or more  years of experience with containerization tools (Docker) and orchestration platforms (Kubernetes). 

• Two or more  years of experience with APIs for serving machine learning models, RESTful services and microservice architecture