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Sr. Machine Learning Engineer

sonyinteractiveentertainmentglobal · Londonsenior

In short

  • ▸Ingeniero ML Senior enfocado en modelos generativos para renderizado y streaming de juegos.
  • ▸Desarrollas e investigas redes neuronales avanzadas con impacto en calidad visual y latencia en tiempo real.
  • ▸Destaca por el requisito de publicación en conferencias de élite como CVPR o SIGGRAPH.

Proficiency in English is required for collaboration and publication.

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What they ask for

  • ✓Doctorado o máster en Ciencias de la Computación, Ingeniería Electrónica, IA, ML o áreas afines.
  • ✓5+ años de experiencia en investigación industrial o académica con impacto demostrable.
  • ✓Experiencia comprobada en TensorFlow o PyTorch, Python y bibliotecas de visión por computadora/gráficos.
  • ✓Al menos una publicación en conferencia de alto nivel como CVPR, ECCV, ICCV, SIGGRAPH.
  • ✓Conocimiento profundo en arquitecturas de redes neuronales (convolucionales, recurrentes, transformers, diffusion, etc.).
  • ✓Habilidades en diseño y prueba de funciones de pérdida avanzadas para redes neuronales.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

TensorFlowPyTorchPythonComputer VisionGraphicsNeural NetworksConvolutional NetworksRecurrent NetworksTransformer-based ModelsDiffusion-based Models

Who should you write to at sonyinteractiveentertainmentglobal?

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Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Description: We are looking for an independent, dedicated Senior ML Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of game play and live streaming via advanced R&D. 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 • 5+ 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 vision (minimum of 3 years of experience for ML engineer, minimum 5 years for Senior ML engineer), • Evidence of leading technical developments by at least 1 research publication in a top-tier conference like CVPR, ECCV, ICCV, SIGGRAPH or similar • Solid background in one or more of the following: (i) neural network architectures, evidenced (for example) by knowledge of how to formulate and test advanced loss functions in neural network design; (ii) design and test of advanced convolutional, recurrent, transformer-based, diffusion-based or other neural network architectures in a task-speci

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