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 architectures. 

• Familiarity with SQL/NoSQL databases and with data storage solutions such as data lakes and data warehouses. 

• Familiarity with continuous integration/continuous deployment (CI/CD) pipelines. 

• Experience collaborating with data scientists , software developers (ie subject matter experts) and other stakeholders and an ability to document processes, code, and workflows effectively. 

• Willing to travel domestically less than 5% of the time if required.    

• This position requires ability to obtain and maintain a security clearance, which is issued by the U.S. government. U.S. citizenship is required to obtain a security clearance. 

In addition to the above, the minimum requirements for the Machine Learning Engineer – Generative AI (Engineering Specialist - Computer Engineering | AI/ML)  include: 

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

• 6-8 years experience with Machine Learning and Data Science methodologies. 

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

• Four  or more  years of experience with APIs for serving machine learning models, RESTful services and microservice architectures. 

• Ability to lead development on ML engineering or software engineering projects and to proactively engage with internal stake holders to come up with new solutions.  

How You Can Stand Out  

It would be impressive if you have one or more of these: 

• Master’s or advanced degree STEM in a relevant field 

• Experience or familiarity with common data and use-cases within the space industry 

• Demonstrated  ML projects deployed as applications 

• Active top secret TS/SCI clearance  

We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business.  The grade-based pay range for this job is listed below.  Individual salaries within that range are determined through a wide variety of factors including but not limited to education, experience, knowledge and skills. 

(Min - Max)

Leadership Competencies

Our leadership philosophy is simple: every employee, regardless of level and role, can demonstrate leadership. At Aerospace, our commitment is our people. To cultivate our talent and ensure that we have a strong pipeline of future leaders, we want individuals who:

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

Ways We Reward Our Employees

During your interview process, our team will provide details of our industry-leading benefits.

Benefits vary and are applicable based on Job Type.  A few highlights include:

• Comprehensive health care and wellness plans

• Paid holidays, sick time, and vacation

• Standard and alternate work schedules, including telework options

• 401(k) Plan — Employees receive a 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 in the plan upon hire

• Flexible spending accounts

• Variable pay program for exceptional contributions

• Relocation assistance

• Professional growth and development programs to help advance your career

• Education assistance programs

• An inclusive work environment built on teamwork, flexibility, and respect

We are all unique, from various backgrounds and all walks of life, yet one thing bonds all of us to each other—the belief that we can make a difference. This core belief empowers us to do our best work at The Aerospace Corporation.

Equal Opportunity Commitment

The Aerospace Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, age, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender, gender identity or expression, color, religion, genetic information, marital status, ancestry, national origin, protected veteran status, physical disability, medical condition, mental disability, or disability status and any other characteristic protected by state or federal law. If you’re an individual with a disability or a disabled veteran who needs assistance using our online job search and application tools or need reasonable accommodation to complete the job application process, please contact us by phone at 310.336.5432 or by email at peoplemangmnt.mailbox@aero.org . You can also review Know Your Rights: Workplace Discrimination is Illegal.