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Staff Machine Learning Engineer

sonyinteractiveentertainmentglobal
Contract type
Ongoing
Work mode
100% remote
Experience
Lead / principal · Not stated

Level inferred from job title

Job description

Brief intro

We are looking for an independent, dedicated Staff Machine Learning Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of game play and live streaming via advanced R&D.

Key details

  • VCG's mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency
  • What you'll be doing:
  • Develop and improve core generative models for graphics and video processing for a variety of applications, such as live video streaming, game rendering, etc
  • Research and prototyping of new methods for graphics or video enhancement, and data generation pipelines from generative models
  • Collaborate with team members on drafting publications and patent submissions
  • Participate and assist the team in core R&D work with other teams within Sony Interactive Entertainment
  • What we're looking for:
  • PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post
  • 7+ years of experience in demonstrable research experience in industry or academia
  • Strong background in: TensorFlow or PyTorch; Python and packages/libraries related to computer vision or graphics; evidenced by the development of advanced applications in image/video/graphics processing or computer …

Requirements & details

  • Uncategorized
  • VCG's mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency
  • What you'll be doing:
  • Develop and improve core generative models for graphics and video processing for a variety of applications, such as live video streaming, game rendering, etc
  • Research and prototyping of new methods for graphics or video enhancement, and data generation pipelines from generative models

Apply