Applied Machine Learning Engineer
Quick Summary
The Aerospace Corporation is the trusted partner to the nation’s space programs, solving the hardest problems and providing unmatched technical expertise.
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 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 position is for the Data Science Applications section, where we focus on solving customer problems with digital applications that involve data science and machine learning techniques. DSA is looking for machine learning engineer with reinforcement learning and graph theory experience to support customers in the missile warning/missile tracking domain.
This is a full-time position based in Colorado Springs, Colorado which requires 100% onsite work.
Responsibilities
~1 min readDuring 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.
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.
Location & Eligibility
Listing Details
- Posted
- May 26, 2026
- First seen
- June 6, 2026
- Last seen
- June 6, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 19%
- Scored at
- June 6, 2026
Signal breakdown
Please let aero know you found this job on Jobera.
4 other jobs at aero
View all →Explore open roles at aero.
Similar Applied Machine Learning Engineer jobs
View all →Browse Similar Jobs
Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
No spam. Unsubscribe at any time.