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python deep learning machine learning autonomous systems domain adaptationπ Description
- Develop and deploy ML systems for the 2028 Mars orbital mission
- Build AI models to run on spacecraft in Mars orbit
- Advance frontier AI methods for diverse, sparse planetary data
- Implement multimodal data fusion across 2D images, 3D models, and radar
- Create autonomous in situ science: real-time analysis and re-tasking
- Own problems end-to-end from data to flight hardware deployment (travel <10%)
π― Requirements
- PhD in machine learning, computer science, physics, or related field
- Experience with transfer learning, domain adaptation, or fine-tuning in low-data settings
- Experience applying ML to physical datasets
- Working knowledge of multi-modal data fusion
- Ability to own problems end-to-end: data, models, evaluation, deployment
- Excited to collaborate with diverse scientists and engineers to advance planetary science
π Benefits
- Competitive salary and equity
- PTO and sick leave policy
- Parental leave
- Annual learning and development stipend
- Collaborative, interdisciplinary team
- Occasional travel to partner sites (<10%)
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