Intern, Machine Learning & AI

San Francisco, CA, United States

$40-40k

Internship

13 minutes ago

Job description

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.

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'll Learn: 

  • 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

What You Bring:

  • Currently pursuing a graduate degree in Computer Science, Data Science, Remote Sensing, or a related field
  • Proficient 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 fast-paced research environment

Application Deadline: May 1, 2025

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

  • Comprehensive Medical, Dental, and Vision plans
  • Health Savings Account (HSA) with a company contribution
  • Generous Paid Time Off in addition to holidays and company-wide days off 
  • 16 Weeks of Paid Parental Leave
  • Remote-friendly work environment 
  • Wellness Program and Employee Assistance Program (EAP)
  • Home Office Reimbursement
  • Monthly Phone and Internet Reimbursement
  • Tuition Reimbursement and access to LinkedIn Learning
  • Equity
  • Commuter Benefits (if local to an office)
  • Volunteering Paid Time Off

Compensation:

The US base salary range for this full-time position at the commencement of employment is listed below.  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.

San Francisco Salary Range
$40$40 USD

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. Know Your Rights.

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 Planet Data Privacy Notice for California Staff Members and Applicants, 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 Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.

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