Machine Learning Engineer

May 10

🏢 In-office - London

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Logo of Sony Interactive Entertainment

Sony Interactive Entertainment

For all of the latest PlayStation related news, career openings, and updates, please visit PlayStation on LinkedIn at https://www.linkedin.com/company/playstation-sony/ About Sony Interactive Entertainment Recognized as a global leader in interactive and digital entertainment, Sony Interactive Entertainment (SIE) is responsible for the PlayStation® brand and family of products and services$1. .$1

10,000+

Description

• We are looking for an independent, dedicated Machine Learning Engineer to join our team and contribute to redefining the world of game play and live streaming via advanced R&D. • Engage with a world-leading team of engineers and help solve some of the cutting edge problems in machine learning, video streaming and computer vision.

Requirements

• 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 • 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 36 months experience) • 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 or other neural network architectures in a task-specific manner; (iii) some experience in training, validation and evaluation of deep neural network models on large datasets, evidenced by experience in using Python libraries like HDF5 or similar; (iv) some experience with 3D engines such as Unreal or Unity; in particular, generation of datasets, extraction of G-buffers, motion vectors, etc

Benefits

• 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

Apply Now
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