Visiting Staff Scientist

Planet designs, builds, and operates the largest constellation of imaging satellites in history.

• We are seeking a distinguished Visiting Staff Scientist to join our AI Research (AIR) team for a one-year sabbatical residency. In this role, you will play a pivotal part in our mission to create a “Queryable Earth” by leading the development of Planet’s proprietary geospatial foundation models (GFMs).
• While Planet has historically leveraged external models like Google’s RSFM and RemoteCLIP, we are now focused on building in-house models specifically trained on our unique imagery. You will lead research into creating temporally dense embeddings that go beyond static annual summaries, capturing the dynamic and ephemeral nature of our planet—from rapid flooding to disaster impacts.
• You will collaborate with a multi-disciplinary team of "Planeteers" across space operations, data pipelines, and analytics to co-develop AI/ML solutions that leverage the high spatial resolution and near-daily revisit of Planet Scope data.

• Distinguished Academic Background:
  PhD and current Faculty/Professor status in Geospatial Analytics, Computer Science, Remote Sensing, or a related field.
• Deep Domain Expertise: 12+ years of experience in remote sensing and satellite image analysis, with a proven track record in building AI-based models for environmental change (e.g., flood-extent, water dynamics).
• Multimodal AI Fluency:
  Extensive experience with foundation models, contrastive learning (CLIP-like models), and multi-model vision-language models (MMVLMs).
• Advanced Geospatial Toolkit:
  Proficiency in multi-sensor integration (Landsat, Sentinel-2, Planet Scope, Sentinel-1) and high-resolution mapping at varying scales (3m, 10m, 30m).
• Technical Proficiency:
  Expert-level Python skills and experience with the scientific stack (xarray, Dask, Num Py, Rasterio, Geo Pandas) and deep learning frameworks.
• Scale-Minded Research:
  Experience building automated pipelines for preprocessing and labeling planetary-scale datasets.
• Collaborative Spirit: A history of leading research labs and a desire to work in a fast-paced, industrial R&D environment.
• Specialized Environmental Research:
  Extensive experience specifically in flood damage quantification and methane-related water dynamics.
• Proven Funding & Publication Record:
  History of leading NASA-funded or similar high-impact geospatial research projects.
• Architectural Knowledge:
  Direct experience fine-tuning or modifying specific GFM architectures like Terra Mind or Prithvi.
• Hybrid
  
  Experience:
  
  A mix of deep academic rigor and the ability to prototype rapid-change monitoring tools for operational readiness.
• These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.
• Comprehensive Medical, Dental, and Vision plans
• Health Savings Account (HSA) with a company contribution
• Generous Paid Time Off in addition to holidays and company-wide days off
• 16 Weeks of Paid Parental Leave
• Wellness Program and Employee Assistance Program (EAP)
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to Linked In Learning
• Equity
• Commuter Benefits (if local to an office)