Computer Vision/Machine Learning Intern-PlayStation

Website PlayStation

5001-10000

PlayStation isn’t just the Best Place to Play —it’s also the Best Place to Work. We’ve thrilled gamers since 1994, when we launched the original PlayStation. Today, we’re recognized as a global leader in interactive and digital entertainment. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation.

This internship is for Summer 2021.

Computer Vision/Machine Learning Intern

San Mateo, CA

Responsibilities

  • As the computer vision/machine learning intern, you will use computer vision and ML techniques to help build in-game content.
  • You will be exposed to general human face/body tracking technology development such as facial part tracking, gaze tacking, emotion estimation, body part tracking
  • You will do creative research on FACS model animation / emotion expression / segmentation / feature detection / object localization
  • Generate animated face / body rig based on tracking result for in game content or real time character movement in game.
  • Application development based on tracking result

Qualifications:

    • Pursuing a Bachelor’s, Master’s degree, or PhD in Computer Science (or related field), and/or within 1 year of their post-graduation date
    • Strong work ethic with outstanding verbal and written communication skills and be able to work with others at all levels
    • Experience programming in Python and C++
    • Working experience of PyTorch or Tensorflow 2.0 experience
    • Computer Vision experience
    • Familiar with OpenCV
    • Knowledge of Image sensor / ISP / Camera calibration
    • Game engine experience such as UE4

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to race, color, religion, gender, pregnancy, national origin, ancestry, citizenship, age, legally protected physical or mental disability, covered veteran status, status in the U.S. uniformed services, sexual orientation, marital status, genetic information or membership in any other legally protected category.

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