Machine Learning Engineer

Role

Description:

We are looking for an independent, dedicated Machine Learning Engineer/Senior ML Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of play and live streaming via advanced R&D. VCG’s mission is to design and deploy advanced neural networks and machine learning for game rendering and streaming systems that exceed the state-of-the-art in runtime efficiency, visual quality, and latency.

• Develop and improve core generative models for graphics and video processing for a variety of applications, such as live video streaming and game rendering.
• Research and prototype new methods for graphics or video enhancement, and develop 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.

• 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.
• 3+ years of demonstrable research experience in industry or academia.
• Strong background in:
  Tensor Flow 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 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-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.

• Publications in top-tier conferences and journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE CVPR/ICCV/ECCV, NeurIPS, ICML, ICLR, or similar.
• Theoretical understanding of the graphics pipeline, including coordinate transformations between frames of reference, P  materials, rasterization, lighting, and ray tracing.
• Experience in image processing theory and methods, evidenced by the development of practical designs.
• 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
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• 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, race, religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or any other legally protected category.

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