# AI/ML Scientist, Planetary Science

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

Canonical page: https://career.thegoodapps.co/jobs/79bebe5c-a146-41a0-a8cd-7097192ada1f

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

- Employment type: full time
- Seniority: Senior
- Location: Long Beach, CA
- Salary: 115000 – 173000 USD per year

## Summary

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._

## Skills named

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

## 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

Apply on Relativity Space's site: https://boards.greenhouse.io/relativity/jobs/8561541002?gh_jid=8561541002