Senior AI/ML Scientist, Planetary Science
Core
Develop and deploy machine learning systems for interplanetary missions, specifically for Mars atmospheric modeling, multi-modal data fusion, and autonomous in-situ science decision-making on spacecraft.
Role type
Senior AI/ML Scientist (Planetary Science)
Builds
AI models for spacecraft operations, weather forecasting systems, and autonomous observation re-tasking.
Domain
Aerospace / Planetary Science / Frontier AI
Deliverable
production ML models
Required skills
Transfer learning, domain adaptation, model fine-tuning, low-data learning, deep learning, autonomous system design, multi-modal data fusion, 3D reconstruction, real-time inference optimization
Preferred skills
Experience with heterogeneous instrument modalities, sparse observation handling, scientific data analysis
Technologies
Deep learning frameworks, spacecraft computing environments, radar depth sounding tools, geologic mapping software
Responsibilities
Develop weather forecasting models combining Earth-derived and Martian physics data; build methods to reconstruct 3D representations from 2D images, 3D models, and radar data; create AI decision-making layers for autonomous spacecraft re-tasking; optimize models for flight hardware constraints.
Seniority
Senior, hands-on IC