Intern, AI/ML

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.

Internships at Planet:

Planet’s Summer 2026 internships are full-time, paid 12-week positions located in our San Francisco HQ Office. 

Program Dates:

• June 1 - August 21
• June 22 - September 11

About the Role:

Join Planet's Edge Compute Team as an Edge Compute Spacecraft Intern! We conduct tech demos and operational constellations and we're designing, manufacturing and launching record-breaking numbers of spacecraft. As an intern and under the mentorship of experienced professionals, you will be an integral part of our design process, prototyping and testing edge compute modules and algorithms for processing data onboard satellites. 

This is a fantastic opportunity to learn, grow, and engage with seasoned Planeteers from teams such as the analytics machine learning team and work to co-develop edge computing solutions for Planet’s next generation of spacecraft.

This is a full-time, remote position based in Denver, CO. If located near an office, you are expected to work from that office 3 days per week.

Impact You'll Own:

• Hardware/software co-development of edge computing solutions for Planet’s next generation spacecraft
• Develop pre-processing of raw imagery onboard the satellite to make them useable by the machine learning algorithms
• Collaborate with the analytics machine learning team to implement deep-learning-based classification systems on pre-processed imagery for identifying, characterizing, and classifying objects
• Explore and develop new methods for improving detection performance and improving the runtime of inference

What You Bring:

• Experience with computer vision, machine learning, and deep learning-based approaches
• Ability deploying algorithms and solutions to solve real-world problems in computationally constrained environments
• Proficiency in C++, Python, or related tools and system SW architecture
• MS or PhD in EE/CS/Physics

What Makes You Stand Out: 

• Experience managing and doing GPU-based computing on large data sets
• Experience with machine learning on earth observation data sets

#LI-REMOTE

Application Deadline:

April 13, 2026 at 11:59p PT

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.

• Commuter Benefits
• Paid time off for holidays and company-wide days off
• Internet reimbursement
• 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 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$25—$60 USD