<div>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.</div>Internships at Planet:Planet’s Summer 2026 internships are full-time, paid 12-week positions located in our San Francisco HQ Office. Program Dates:<ul><li>May 28th - August 16th</li><li>June 10th - August 30th</li></ul>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 “<a href="https://www.youtube.com/watch?v=IQkj4CF_ha4">Queryable Earth</a>”. 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:<ul><li>Optimize and fine-tune novel VLMs tailored for Earth observation data</li><li>Create and optimize embeddings for large-scale satellite imagery datasets</li><li>Design and execute machine learning workflows for geospatial analysis</li><li>Contribute to the development of a "Queryable Earth" functionality using natural language queries</li><li>Collaborate with research scientists and engineers to design innovative models for remote sensing applications</li><li>Assist in preprocessing and labeling geospatial data for machine learning tasks</li><li>Evaluate and improve algorithms for feature detection and classification in satellite imagery</li></ul>What You Bring:<ul><li>Currently pursuing a graduate degree in Computer Science, Data Science, Remote Sensing, or a related field</li><li>Proficiency in Python and experience with deep learning frameworks (e.g., PyTorch, TensorFlow)</li><li>Familiarity with computer vision and natural language processing techniques</li><li>Knowledge of geospatial data formats and analysis tools (e.g., GDAL, GeoPandas, Rasterio)</li><li>Experience with vector databases and similarity search algorithms is a plus</li><li>Excellent problem-solving skills and ability to work in a dynamic research environment</li></ul>What Makes You Stand Out: <ul><li>Advanced techniques in ML/AI for Earth observation</li><li>Implementation of state-of-the-art VLMs for geospatial applications</li><li>Large-scale data processing and embedding generation for global satellite imagery</li><li>Integration of multi-modal data sources for comprehensive Earth system analysis</li></ul>Application Deadline:Apr 20, 2026 by 11:59p / 23:59 CET (Central European Time)EAR/ITAR Requirements:This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls.Benefits While Working at Planet:These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.<ul><li>Commuter Benefits</li><li>Paid time off for holidays and company-wide days off</li><li>Internet reimbursement</li><li>Access to LinkedIn Learning</li></ul>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 hire salaries in US locations only.  Your recruiter can share more about the specific salary range for your preferred location during the hiring process.<div><div><div>San Francisco Salary Range</div><div>$40—$60 USD</div></div></div><div>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. Why we care so much about Belonging.  We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work.  If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply!  At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description.  We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts.  We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride. 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. <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf">Know Your Rights.</a>Accommodations:  Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the <a href="https://www.planet.com/privacy/#california">Planet Data Privacy Notice for California Staff Members and Applicants</a>, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the <a href="https://www.planet.com/privacy/">Candidate Privacy Notice GDPR Planet Labs Europe</a>, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We are currently exploring AI interviewing technologies to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a Planet AI Notetaker for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy.Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e.g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.</div>

Planet started as a small team of physicists and engineers, and now operates the world's largest constellation of Earth-imaging satellites. We offer our customers a diverse selection of 3-meter, 5-meter, and 80-centimeter data products, all under one roof.
From precision agriculture and emergency response to supply chain and infrastructure monitoring, we believe that timely, global imagery and analytics will empower informed, deliberate, and meaningful stewardship of our planet.

Intern, Machine Learning & AI

<div>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.</div>Internships at Planet:Planet’s Summer 2026 internships are full-time, paid 12-week positions located in our San Francisco HQ Office. Program Dates:<ul><li>May 28th - August 16th</li><li>June 10th - August 30th</li></ul>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 “<a href="https://www.youtube.com/watch?v=IQkj4CF_ha4">Queryable Earth</a>”. 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:<ul><li>Optimize and fine-tune novel VLMs tailored for Earth observation data</li><li>Create and optimize embeddings for large-scale satellite imagery datasets</li><li>Design and execute machine learning workflows for geospatial analysis</li><li>Contribute to the development of a "Queryable Earth" functionality using natural language queries</li><li>Collaborate with research scientists and engineers to design innovative models for remote sensing applications</li><li>Assist in preprocessing and labeling geospatial data for machine learning tasks</li><li>Evaluate and improve algorithms for feature detection and classification in satellite imagery</li></ul>What You Bring:<ul><li>Currently pursuing a graduate degree in Computer Science, Data Science, Remote Sensing, or a related field</li><li>Proficiency in Python and experience with deep learning frameworks (e.g., PyTorch, TensorFlow)</li><li>Familiarity with computer vision and natural language processing techniques</li><li>Knowledge of geospatial data formats and analysis tools (e.g., GDAL, GeoPandas, Rasterio)</li><li>Experience with vector databases and similarity search algorithms is a plus</li><li>Excellent problem-solving skills and ability to work in a dynamic research environment</li></ul>What Makes You Stand Out: <ul><li>Advanced techniques in ML/AI for Earth observation</li><li>Implementation of state-of-the-art VLMs for geospatial applications</li><li>Large-scale data processing and embedding generation for global satellite imagery</li><li>Integration of multi-modal data sources for comprehensive Earth system analysis</li></ul>Application Deadline:Apr 20, 2026 by 11:59p / 23:59 CET (Central European Time)EAR/ITAR Requirements:This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls.Benefits While Working at Planet:These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.<ul><li>Commuter Benefits</li><li>Paid time off for holidays and company-wide days off</li><li>Internet reimbursement</li><li>Access to LinkedIn Learning</li></ul>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 hire salaries in US locations only.  Your recruiter can share more about the specific salary range for your preferred location during the hiring process.<div><div><div>San Francisco Salary Range</div><div>$40—$60 USD</div></div></div><div>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. Why we care so much about Belonging.  We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work.  If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply!  At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description.  We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts.  We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride. 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. <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf">Know Your Rights.</a>Accommodations:  Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the <a href="https://www.planet.com/privacy/#california">Planet Data Privacy Notice for California Staff Members and Applicants</a>, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the <a href="https://www.planet.com/privacy/">Candidate Privacy Notice GDPR Planet Labs Europe</a>, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We are currently exploring AI interviewing technologies to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a Planet AI Notetaker for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy.Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e.g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.</div>

Intern, Machine Learning & AI

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About the Company

Planet

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