Machine Learning Engineer

3 weeks ago


London, Greater London, United Kingdom PlayStation Full time

Job Overview:

We are seeking an experienced Senior Machine Learning Engineer to contribute to the development of cutting-edge technologies in game play and live streaming. As a member of our team, you will work alongside world-leading engineers to solve complex problems in machine learning, video streaming, and computer vision.

Key Responsibilities:

  • Design and develop advanced deep learning architectures for graphics and video processing, including live video streaming and game rendering applications.
  • Research and prototype new methods for fast graphics or video enhancement, leveraging expertise in computer vision and graphics.
  • Draft publications and patent submissions in collaboration with other team members, highlighting innovative solutions and achievements.
  • Collaborate with cross-functional teams within Sony Interactive Entertainment to advance core R&D work.

Requirements:

  • MSc. in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics, or a related field, or equivalent skills demonstrated through relevant work experience.
  • Strong background in TensorFlow or PyTorch, Python, and packages/libraries related to computer vision or graphics, as evidenced by the development of advanced applications in image/video/graphics processing or computer vision (minimum 36 months experience).
  • Expertise in one or more areas, including neural network architectures, design and testing of advanced convolutional, recurrent, transformer-based, or other neural network architectures, training, validation, and evaluation of deep neural network models on large datasets, or working experience with 3D engines such as Unreal or Unity.

Desired Qualifications:

  • Publications in top-tier conferences and journals, such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, or conferences like IEEE CVPR/ICCV/ECCV, NeurIPS, ICML, ICLR.
  • Theoretical understanding of the graphics pipeline, including coordinate transformations between frames of reference, PBR materials, rasterization, lighting, and ray tracing.
  • Solid experience in image processing theory and methods, as evidenced by practical designs in this area.
  • Experience in using Docker containers or similar technologies.

Compensation and Benefits:

  • Estimated salary: $140,000 - $170,000 per year, depending on location and experience.
  • 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
  • Access to cycle garage and showers


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