# Senior AI/ML Scientist, Planetary Science

Hiring organization: [Relativity Space](https://career.thegoodapps.co/organizations/relativity-space)

Canonical page: https://career.thegoodapps.co/jobs/9f0fad6d-991b-4481-9da0-8ef13e669b3a

Listed on Relativity Space's own careers site. Applications go to them directly.

- Seniority: Senior
- Location: Long Beach, CA
- Salary: 154000 – 230000 USD per year

## Summary

This role applies machine learning to planetary science missions, developing AI systems that run on Mars spacecraft to forecast weather, fuse multi-modal sensor data, and autonomously detect and respond to scientifically significant events. It suits researchers with strong ML foundations who want to tackle applied problems at the frontier of space exploration and AI.

_Our summary, not Relativity Space's wording._

## Skills named

Deep Learning, Machine Learning, Python, PyTorch, TensorFlow, Transfer Learning

## Required

- PhD in machine learning, computer science, physics, or related technical field
- 3+ years of relevant industry experience
- 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 spacecraft or flight hardware deployment
- Background in planetary science or atmospheric modeling
- Familiarity with autonomous systems

Apply on Relativity Space's site: https://boards.greenhouse.io/relativity/jobs/8561397002?gh_jid=8561397002