Machine Learning Engineer (5-8 yrs)
Advanced Space10 hours ago
Westminster, CO, USASenior / Staff+
Base Salary
$124k - $171k/yr
Responsibilities
- Translate mission, operations, and engineering needs into well-defined machine learning and data-driven problems with measurable success criteria.
- Design, implement, evaluate, and maintain ML capabilities for spacecraft mission planning, operations, autonomy, navigation, physical-system modeling, signal extraction, and engineering workflows.
- Own technically complex projects from problem formulation through implementation, integration, documentation, and operational handoff.
- Build reproducible ML workflows covering data curation and validation, experiment tracking, model and data versioning, configuration management, automated regression testing, and performance monitoring.
- Evaluate nominal, edge-case, and off-nominal model performance and identify data leakage, distribution shifts, and other reliability risks.
- Integrate ML capabilities with navigation, mission design, flight software, systems engineering, and operations teams.
- Research and apply emerging methods in machine learning, optimization, and autonomy.
- Document and present technical approaches, results, limitations, risks, and recommendations to multidisciplinary stakeholders.
- Use approved AI-assisted and agentic engineering tools responsibly while maintaining security, source provenance, reproducibility, and technical validation.
Requirements
- Bachelor of Science in Computer Science, Machine Learning, Software Engineering, Aerospace Engineering, or another relevant engineering, physical-science, or quantitative discipline; equivalent relevant experience may be considered.
- 5–8 years of professional experience developing and integrating machine learning, optimization, statistical, or data-driven engineering capabilities.
- Experience owning technical problems from initial formulation through implementation, quantitative evaluation, documentation, and stakeholder communication.
- Proficiency in Python and modern software engineering practices, including version control, code reviews, automated testing, debugging, and performance profiling.
- Experience with at least one modern ML framework, such as PyTorch, JAX, TensorFlow, or an equivalent, including custom models, loss functions, data pipelines, training loops, and inference workflows.
- Understanding of common machine learning model families and the ability to select or adapt methods based on data, computation, mission requirements, and operational risk.
- Experience developing reproducible end-to-end ML workflows, including data validation, experiment tracking, model and data versioning, integration testing, and model evaluation.
- Working knowledge of an aerospace domain such as astrodynamics, spacecraft systems, navigation, mission design, or flight and ground software, or the ability to rapidly build that expertise.
- Familiarity with ML applications for physical or engineered systems, reinforcement learning, or decision-making methods.
- Effective communication and collaboration skills for multidisciplinary engineering teams.
- Preferred qualifications include an M.S. or Ph.D. in Aerospace Engineering, Computer Science, Artificial Intelligence, Robotics, or a related field; experience with reinforcement learning, MPC, MDPs, POMDPs, autonomy architectures, simulation or digital twins, GN&C, probabilistic modeling, Bayesian inference, optimization, and engineering AI tools.
Benefits
- Base salary of $124K–$171K based on experience, qualifications, and location.
- Signing bonus and quarterly performance bonuses.
- Company-sponsored medical benefits and 401(k).
- Flexible time off and relocation assistance.
- Full-time hybrid work arrangement.
- Opportunity to work on lunar and deep-space missions and collaborate with machine learning, navigation, mission design, and aerospace engineering experts.
Categories
About Advanced Space
Advanced Space provides mission design, navigation, flight dynamics software, and mission systems engineering to commercial, civil, and national security space programs. The privately held company, founded in 2011 and headquartered in Westminster, Colorado, also delivers turnkey missions and autonomy/AI technology, operating NASA’s CAPSTONE lunar mission and serving as prime contractor for AFRL’s Oracle cislunar situational awareness effort. Revenue comes from government contracts and commercial services, spanning lunar to deep-space applications.