AI/ML Scientist, Planetary Science
Core
Develop and deploy machine learning systems for autonomous in situ science on Mars orbit spacecraft, including atmospheric modeling, multi-modal data fusion, and real-time event detection.
Role type
Senior IC AI/ML Scientist (Planetary Science)
Builds
AI models for spacecraft inference, weather forecasting systems, and autonomous re-tasking logic for Mars missions.
Domain
Aerospace / Planetary Science / Deep Learning
Deliverable
production ML models
Required skills
transfer learning, domain adaptation, low-data learning, multi-modal data fusion, end-to-end system ownership, physical dataset modeling
Preferred skills
foundation models, novelty detection, autonomous decision-making
Technologies
deep learning frameworks, spacecraft flight hardware, heterogeneous sensor data
Responsibilities
Develop ML techniques to combine Earth-derived and Martian atmospheric datasets for real-time weather forecasting on spacecraft. Build methods to reconstruct coherent 3D representations by fusing 2D images, 3D models, geologic maps, and radar data. Create AI decision-making layers to autonomously re-task spacecraft for follow-up observations based on real-time analysis.
Seniority
Senior, hands-on IC
