Machine Learning Engineer
US$100,000 – US$134,000 / yr base salary
Posted 9 Oct 2026
Advertised as “Machine Learning Engineer (2-5 yrs) ”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 2–5 yrs
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
- Visa sponsorship
- Not offered
| Base salary | US$100,000 – US$134,000 / yr |
|---|
Field of studyAerospace Engineering, Computer Science, Machine learning, Software Engineering (or related)
Study levelBachelor's
Field of studyAerospace Engineering, Artificial Intelligence, Computer Science, Robotics (or related)
Study levelMaster's
Advanced Space | Machine Learning Engineer (2–5 Years) | Full-time | Hybrid
We’re going to the Moon. Think you’ve got what it takes?
About the Role
At Advanced Space, we're enabling humanity's return to the Moon and building the technologies that will take us to Mars and beyond. We're looking for a Machine Learning Engineer with 2–5 years of experience to develop innovative ML-driven capabilities that support spacecraft missions, autonomy, navigation, mission planning, and advanced engineering solutions.
This is a hands-on technical role focused on translating complex mission and engineering challenges into practical, data-driven solutions. You'll take ownership of technically complex projects from problem formulation and model development through quantitative evaluation, integration, and operational deployment. You'll work with modern machine learning techniques, including statistical learning, probabilistic modeling, optimization, deep learning, and reinforcement learning, to solve real-world aerospace challenges.
We're looking for someone who enjoys tackling ambiguous technical problems, has a strong foundation in machine learning and software engineering, and is excited to collaborate across disciplines to develop capabilities that support real space missions.
This position is open to U.S. Persons (U.S. citizens or lawful permanent residents) only. Visa sponsorship is not available.
About Advanced Space
Advanced Space exists to enable the sustainable exploration, development, and settlement of space through innovative software, mission services, and technology solutions. As the owner and operator of NASA's CAPSTONE™ mission and the Prime Contractor for AFRL's Oracle mission, we're helping shape the future of cislunar exploration while supporting commercial, civil, and national security customers.
Our team combines deep technical expertise with an entrepreneurial mindset. We move quickly, collaborate across disciplines, and empower every engineer to make meaningful contributions. If you're passionate about solving challenging problems and seeing your work fly in space, you'll fit right in.
What You'll Actually Do
Develop machine learning solutions for complex engineering challenges.
Translate mission, operations, and engineering needs into well-defined ML and data-driven problems. Establish success metrics, baselines, datasets, evaluation plans, and quantitative acceptance criteria to develop solutions that address real-world mission requirements.
Design and implement ML-enabled capabilities.
Select, develop, evaluate, and maintain machine learning solutions that support spacecraft mission planning, operations, autonomy, navigation, physical-system modeling, signal extraction, and internal engineering workflows. Apply appropriate methods based on mission needs, data availability, computational constraints, and operational requirements.