Advanced Space
Machine Learning Engineer (5-8 yrs)
$124K–$171K
Westminster, CO +1 · Full-time · Posted Oct 2, 2026
- Location
- Westminster, CO
Westminster, Colorado, United States - Experience
- 5–8 years of professional experience developing and integrating machine learning, optimization, statistical, or data-driven engineering capabilities.
- Education
- B.S. in Computer Science, Machine Learning, Software Engineering, Aerospace Engineering, or another relevant engineering, physical-science, or quantitative discipline; equivalent relevant experience may be considered.
- Visa sponsorship
- Open to U.S. citizens or lawful permanent residents only; visa sponsorship is not available.
About the job
Develops and integrates machine learning capabilities for spacecraft missions and aerospace engineering, from problem formulation through evaluation, deployment, and operational handoff.
What you'll do
- Develop, evaluate, and maintain ML solutions for spacecraft mission planning, operations, autonomy, navigation, physical-system modeling, and engineering workflows.
- Build reproducible ML pipelines and integrate capabilities into aerospace systems in collaboration with multidisciplinary teams.
- Own technical projects from concept to deployment; document results, risks, limitations, and recommendations.
What they ask for
- 5–8 years developing and integrating machine learning, optimization, statistical, or data-driven engineering capabilities.
- B.S. in a relevant engineering, physical-science, or quantitative discipline; equivalent relevant experience may be considered.
- Proficiency in Python and modern software engineering practices.
- Experience with at least one modern ML framework, such as PyTorch, JAX, TensorFlow, or equivalent.
Nice to have
- M.S. or Ph.D. in a related field.
- Experience with reinforcement learning, autonomy architectures, simulation/digital twins, or aerospace system integration.
Pay
$124K -$171K USD base salary
Tools
Python, PyTorch, JAX, TensorFlow, model predictive control (MPC), Markov decision processes (MDPs), partially observable Markov decision processes (POMDPs)
AI focus
Develops ML and AI-enabled capabilities for spacecraft autonomy, navigation, mission planning, operations, and engineering. Also uses approved AI-assisted and agentic engineering tools responsibly, validating outputs and applying security, provenance, and reproducibility practices.
Model-written summary · the original posting is authoritative