Space ML Engineer: Autonomy & Mission Planning

Advanced Space, LLC; Westminster (CO); Hybrid; USD 124,000 - 171,000; Full time

Benefits offered by this job

Signing bonus

Quarterly performance bonuses

Medical benefits and 401(k)

Flexible time off

Relocation assistance

Job summary

Advanced Space, LLC is seeking a Machine Learning Engineer with 5–8 years of experience to design and deploy ML solutions for spacecraft missions, autonomy, navigation, and mission planning. The role emphasizes end-to-end ownership, reproducible ML workflows, and collaboration with cross-disciplinary teams in a hybrid US-based environment.

You'll work with PyTorch, TensorFlow, and other frameworks, applying modern ML methods to real aerospace challenges while maintaining code quality and

Qualifications

• 5–8 years of professional experience developing and integrating ML capabilities.
• Proficient in Python and software engineering practices (version control, testing, debugging).
• Experience with ML frameworks such as PyTorch, JAX, or TensorFlow.

Responsibilities

• Develop ML solutions for complex engineering challenges and mission requirements.
• Design and implement ML-enabled capabilities for spacecraft planning, autonomy, and navigation.
• Own technically complex projects from concept through deployment and handoff.
• Build reliable, end-to-end ML workflows with data validation and experiment tracking.
• Collaborate with cross-disciplinary teams to integrate ML into broader architectures.

Skills

Python

Machine learning

PyTorch

JAX

TensorFlow

Reinforcement learning

Education

Bachelor's degree

Tools

Scikit-learn

Job description

Advanced Space, LLC is seeking a Machine Learning Engineer with 5–8 years of experience to design and deploy ML solutions for spacecraft missions, autonomy, navigation, and mission planning. The role emphasizes end-to-end ownership, reproducible ML workflows, and collaboration with cross-disciplinary teams in a hybrid US-based environment.

You'll work with PyTorch, TensorFlow, and other frameworks, applying modern ML methods to real aerospace challenges while maintaining code quality and