Logo of Huzzle

Intern, Edge Compute

image

Planet

Mar 20

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Data
  • San Francisco

Requirements

  • Experience with computer vision, machine learning, and deep learning-based approaches
  • Proven 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
  • EAR/ITAR Requirements:
  • This position requires access to export-controlled technology, and as such, and in accordance to applicable law, employment is only open to US citizens, US nationals, lawful permanent residents of the US or persons admitted to the US as an asylee or refugee.

Responsibilities

  • 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

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

Technology
Industry
501-1000
Employees
2010
Founded Year

Mission & Purpose

Planet is the leading provider of global, daily satellite imagery and insights. Planet is driven by a mission to image all of Earth’s landmass every day, and make global change visible, accessible, and actionable. Founded in 2010 by three NASA scientists, Planet designs, builds, and operates the largest fleet of imaging satellites, as well as online software, tools and analytics needed to deliver data to users. Decision makers in business, government, and within organizations use Planet's data and machine learning-powered analytics to develop new technologies, drive revenue, power research, and make informed, timely decisions to solve our world's toughest challenges.