Perceptive Space

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

Engineer

• Build foundational technology required for satellites, launch vehicles, and human missions
• Lead efforts to advance spaceflight trajectory modeling and flight operations
• Develop and refine modeling techniques for analyzing and simulating satellite dynamics
• Work on applied research and develop algorithms pertaining to state estimation, orbit analysis, maneuver detection, error propagation, and collision probability analysis
• Conduct data analysis from complex space and ground systems, apply knowledge of statistics, software scripting, modeling and simulation, and advanced mathematics to recognize patterns, identify opportunities, and propose solutions
• Demonstrate a high level of autonomy and critical thinking to take full ownership of your work.

Astrodynamics Engineer

Machine Learning Scientist

Full-stack Engineer

• Build the foundational technology required for satellites, launch vehicles, and human missions to operate safely and efficiently in the space environment
• Design, build, and ship production code across web portal, APIs, and backend systems
• Build a multi-page web application using Python and Django (or comparable frameworks)
• Implement authentication, user dashboards, and role-based access
• Create clean interfaces for browsing data products, visualizations, and alerts
• Develop and maintain APIs for external data consumption
• Manage deployments, CI/CD, monitoring, and cloud setup (AWS, Docker, etc.)
• Ensure scalability, performance, and security best practices
• Work closely with engineers and scientists to turn models and forecasts into usable products
• Collaborate within a small, high-velocity team solving aerospace and AI challenges

Senior Machine Learning Scientist

Astrodynamics Engineer

Machine Learning Scientist

Software Engineer, Full Stack