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Planet logo
Planet

Largest earth observation satellite network delivering a near-daily global dataset

Intern, AI/ML

Artificial IntelligenceArtificial IntelligenceInternshipRemoteEntry LevelTeam 501-1,000Since 2010H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

72 days ago

Salary

$25 - $60 / year

Seniority

Entry Level

No structured requirement data.

Job Description

Intern, AI/ML

Planet

Role Description 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 usable 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 Qualifications - Experience with computer vision, machine learning, and deep learning-based approaches - Ability to deploy 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 Requirements - Experience managing and doing GPU-based computing on large data sets - Experience with machine learning on earth observation data sets Benefits - Commuter Benefits - Paid time off for holidays and company-wide days off - Internet reimbursement - Access to LinkedIn Learning 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.

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