Intern, Machine Learning & AI
About The Position
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.
Requirements
- 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
Nice To Haves
- 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
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
Benefits
- Commuter Benefits
- Paid time off for holidays and company-wide days off
- Internet reimbursement
- Access to LinkedIn Learning
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Number of Employees
251-500 employees
