Staff ML Engineer - Graphics, Rendering & Live Streaming

Sony Playstation

Greater London

Hybrid

GBP 90,000 - 150,000

Full time

14 days+
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Benefits offered by this job

Discretionary bonus opportunity
Hybrid Working (within Flexmodes)
Private Medical Insurance
Dental Scheme
25 days holiday per year
On Site Gym
Subsidised Café
Free soft drinks
On site bar
Cycle garage and showers

Job summary

Sony Interactive Entertainment is seeking a Staff Machine Learning Engineer to join the Visual Computing Group to redefine game play and live streaming via advanced R&D. You will design and deploy neural networks for rendering and streaming with state-of-the-art efficiency and latency improvements.

The role requires a PhD/MSc and 7+ years of research experience, deep expertise in TensorFlow or PyTorch, Python, computer vision/graphics libraries, and a track record of publications.

Qualifications

  • PhD or MSc in CS/AI/Graphics or equivalent research experience.
  • 7+ years of demonstrable research experience in industry or academia.
  • Proven ability to publish in top-tier venues such as CVPR/ECCV/ICCV/SIGGRAPH.
  • Strong background in neural networks for graphics and video processing.

Responsibilities

  • Develop and improve core generative models for graphics and video processing.
  • Research and prototype new methods for graphics or video enhancement and data pipelines.
  • Collaborate on publications and patent submissions.
  • Work with teams across Sony Interactive Entertainment on R&D projects.

Skills

TensorFlow / PyTorch
Python
Publications in top conferences
Neural networks / ML for graphics
Large-scale training

Education

PhD or MSc in CS/AI/Graphics

Tools

Unreal/Unity familiarity
CUDA / GPGPU
HDF5 or equivalent data tools

Job description

Sony Interactive Entertainment is seeking a Staff Machine Learning Engineer to join the Visual Computing Group to redefine game play and live streaming via advanced R&D. You will design and deploy neural networks for rendering and streaming with state-of-the-art efficiency and latency improvements.

The role requires a PhD/MSc and 7+ years of research experience, deep expertise in TensorFlow or PyTorch, Python, computer vision/graphics libraries, and a track record of publications.

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