Intern, Machine Learning and AI

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 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 Time)

Benefits While Working at Planet

• Paid time off for holidays and company‑wide days off
• Access to LinkedIn Learning

Compensation

The US hourly rate range for this position at the commencement of employment is $35 – $60. The final salary range is determined by job‑related experience, skills and location. The range displays our typical hiring range for new hires in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

San Francisco Salary Range

$40 – $60 USD

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

EEO Statement

Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights.