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Role Overview: We are looking for an independent, dedicated Senior or Staff Machine Learning 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
- 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),
- 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‑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
Desired qualifications:
- Publications, e.g. in top‑tier conferences and journals: IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, conferences like IEEE CVPR/ICCV/ECCV, NeurIPS, ICML, ICLR, or similar
- Some theoretical understanding of the graphics pipeline, including coordinate transformations between frames of reference, PBR materials, rasterization, lighting, and ray tracing
- Experience in image processing theory and methods, evidenced by the development of practical designs in this area
- Some experience with 3D engines such as Unreal or Unity; in particular, generation of datasets, extraction of G‑buffers, motion vectors, etc.
- Discretionary bonus opportunity
- Hybrid Working (within Flexmodes)
- Private Medical Insurance
- 25 days holiday per year
- On Site Gym
- Free soft drinks
- Access to cycle garage and showers
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.
UK Diversity & Inclusion - Voluntary Equal Opportunity Monitoring
Sony Interactive Entertainment Europe Limited (SIEE) is committed to ensuring that all job applicants and members of staff are treated equally, without discrimination because of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age. Collecting diversity data is intended to help SIEE maintain equal opportunities best practice and identify barriers to workforce equality and diversity. Please read this notification and consent before you decide whether to submit your diversity data in the survey below.
SIEE will treat all survey responses in the strictest confidence, and our personnel with decision‑making role in the recruitment process can only see aggregated reports on the results of the survey and cannot allocate these aggregated reports to individual applicants. There is no obligation on you to provide diversity data, SIEE will treat all applicants the same regardless of whether they provide diversity data or not, and any responses to the survey will not affect our decision on your application.
