Intern, Machine Learning & AI

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. Internships at Planet: Planet’s Summer 2026 internships are full-time, paid 12-week positions located in our San Francisco HQ Office. Program Dates: May 28th - August 16th June 10th - August 30th About the Role: We are seeking a talented Machine Learning and Artificial Intelligence (ML/AI) intern to join our AI Research team and contribute to our vision of creating a “ Queryable Earth ”. In this role, you will work with cutting-edge vision-language models (VLMs) and embeddings to extract valuable insights from our extensive archive of geospatial imagery. This is a fantastic opportunity to learn, grow, and engage with highly skilled Planeteers working on multi-disciplinary fields including satellites, space operations, image processing, data pipeline and analytics teams and work to co-develop ML/AI solutions for Planet’s geospatial imagery. Join us in revolutionizing how we understand and interact with our Planetary Dataset through the power of AI. This internship offers a unique opportunity to work on projects with real-world impact and contribute to the future of geospatial intelligence. This is a full-time, 12 week internship during the summer and is based in our San Francisco office 5 days per week. Impact You'll Own: Optimize and fine-tune novel VLMs tailored for Earth observation data Create and optimize embeddings for large-scale satellite imagery datasets Design and execute machine learning workflows for geospatial analysis Contribute to the development of a "Queryable Earth" functionality using natural language queries Collaborate with research scientists and engineers to design innovative models for remote sensing applications Assist in preprocessing and labeling geospatial data for machine learning tasks Evaluate and improve algorithms for feature detection and classification in satellite imagery What You Bring: Currently pursuing a graduate degree in Computer Science, Data Science, Remote Sensing, or a related field Proficiency in Python and experience with deep learning frameworks (e.g., PyTorch, TensorFlow) Familiarity with computer vision and natural language processing techniques Knowledge of geospatial data formats and analysis tools (e.g., GDAL, GeoPandas, Rasterio) Experience with vector databases and similarity search algorithms is a plus Excellent problem-solving skills and ability to work in a dynamic research environment What Makes You Stand Out: Advanced techniques in ML/AI for Earth observation Implementation of state-of-the-art VLMs for geospatial applications Large-scale data processing and embedding generation for global satellite imagery Integration of multi-modal data sources for comprehensive Earth system analysis Application Deadline: Apr 20, 2026 by 11:59p / 23:59 CET (Central European ... (truncated, view full listing at source)