Senior Machine Learning Graphics Engineer United Kingdom, London

PlayStation
London
1 week ago
Applications closed

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Senior Machine Learning Graphics Engineer

United Kingdom, London

Why PlayStation?

PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, acclaimed PlayStation software titles from PlayStation Studios, and more.

PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.

The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.

The role

We are seeking an experienced machine learning engineer to join our team and use ML in real-time computer graphics applications. This is an outstanding opportunity to work at the forefront of technology and innovation, applying your expertise to craft the future of gaming graphics!

The team

Based in London, our team is part of the ‘Foundational Systems and Experiences Engineering’ group. We build the low-level SDKs and fundamental technologies used by our game development partners to build PlayStation Games. Our team is dedicated to working on the latest GPU and Machine Learning technologies to deliver the next generation of high-performance computer graphics for PlayStation.

What you’ll be doing:

  • Developing and refining ML models and architectures for computer graphics and game rendering.
  • Researching and evaluating new algorithms and techniques for graphics improvement.
  • Delivering fundamental technologies in our game SDKs.
  • Collaborating with a distributed team of experienced graphics engineers.
  • Working with technical leads, engineers, and project managers to plan goals and objectives.

What we’re looking for:

  • A degree or equivalent experience in Computer Science, Artificial Intelligence, Machine Learning, or a related field; advanced degrees are a plus.
  • Strong experience in ML model development and neural networks, possibly with a research focus.
  • Experience in training, validation, and evaluation of deep neural network models on large datasets.
  • Experience in applying AI/ML technologies to real-time inference tasks, ensuring efficient and accurate decision-making in dynamic environments.
  • A passion for gaming and a keen interest in GPU technology trends such as ML and Ray-tracing.
  • A background in the interactive entertainment industry, computer graphics, or a related field.
  • Experience in developing computer graphics applications with C/C++ and APIs such as DirectX/Vulkan or console equivalents.
  • Strong communication and a collaborative approach to problem-solving.
  • Familiarity with agile development methodologies.

Domain Expertise:

  • Experience with programming languages, tools, and frameworks relevant to graphics and machine learning (e.g., C++, Python, PyTorch, OpenGL, DirectX).
  • Deep expertise in TensorFlow or PyTorch, Python, and related computer vision/graphics software; proven by building advanced image/video/graphics projects.

Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

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Thank you so much for considering a role with us! Should this position not be the perfect fit right now, we would be excited about the chance to explore future opportunities with you.

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