RS
$115,000 – $173,000
Listed on Relativity Space’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role applies machine learning to unlock discoveries from Mars missions, focusing on atmospheric modeling, multi-modal data fusion, and autonomous science decision-making on spacecraft. It suits researchers who want to bridge cutting-edge AI methods with planetary science problems in a lean, high-ownership environment.
Our summary, not Relativity Space’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- PhD in machine learning, computer science, physics, or related technical field
- Experience with transfer learning, domain adaptation, or model fine-tuning in low-data or out-of-distribution settings
- Experience applying machine learning to physical datasets
- Working knowledge of multi-modal data fusion
- Ability to own problems end-to-end from dataset understanding through deployment
Nice to have
- Experience with weather forecasting or atmospheric modeling
- Background in planetary science or space missions
- Familiarity with spacecraft systems or flight software constraints