Intern, Machine Learning & AI at Planet in San Francisco, CA

Summary: Planet is a global company that designs, builds, and operates the largest constellation of imaging satellites in history. They are seeking a Machine Learning and Artificial Intelligence intern to contribute to their AI Research team, focusing on creating a 'Queryable Earth' and working with geospatial imagery. Responsibilities: - 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 Required Qualifications: - 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) - Excellent problem-solving skills and ability to work in a dynamic research environment Preferred Qualifications: - Experience with vector databases and similarity search algorithms is a plus - 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 Required Skills: Machine Learning, Artificial Intelligence, Vision-Language Models, Embeddings, Python, Deep Learning Frameworks, PyTorch, TensorFlow, Computer Vision, Natural Language Processing, Geospatial Data Analysis, GDAL, GeoPandas, Rasterio, Vector Databases, Similarity Search Algorithms Benefits: Commuter Benefits, Paid time off for holidays and company-wide days off, Internet reimbursement, Access to LinkedIn Learning