Machine Learning Engineer

• Build and evaluate machine learning models for time series forecasting and spatio-temporal dynamics
• Design experiments to assess model generalization, uncertainty, and relevance to physical systems
• Integrate domain knowledge, external signals, or prior constraints to improve model performance
• Optimize model performance through feature engineering, architecture tuning, and validation strategies
• Collaborate with aerospace engineers, software engineers, and domain experts to deploy ML systems in production
• Stay up to date with developments in ML for dynamic systems, forecasting, and scientific ML

Senior Machine Learning Scientist

Senior Engineer – Machine Learning, Offline Perception

Staff Machine Learning Engineer – E2E

Staff ML Engineer – E2E

Staff ML Engineer – Learned Behaviors

Staff ML Engineer – Road & Lane Detection