Planet→
Intern, AI/ML at Planet in Remote
InternshipRemoteRemote$73k–$125k/yr
Skills
computer visionmachine learningdeep learningalgorithm deployment in constrained environmentsc++pythonsystem software architecturegpu computingearth observation data analysis
Job Description
Summary: Planet is a global company that designs, builds, and operates the largest constellation of imaging satellites in history. They are seeking an AI/ML Intern to join their Edge Compute Team, where the intern will help develop edge computing solutions and collaborate with the analytics machine learning team to enhance satellite imagery processing.
Responsibilities:
- 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
Required Qualifications:
- 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
Preferred Qualifications:
- Experience managing and doing GPU-based computing on large data sets
- Experience with machine learning on earth observation data sets
Required Skills: Computer Vision, Machine Learning, Deep Learning, Algorithm Deployment in Constrained Environments, C++, Python, System Software Architecture, GPU Computing, Earth Observation Data Analysis
Benefits: Commuter Benefits, Paid time off for holidays and company-wide days off, Internet reimbursement, Access to LinkedIn Learning
Benefits
Commuter Benefits
Paid time off for holidays and company-wide days off
Internet reimbursement
Access to LinkedIn Learning