Senior Machine Learning Engineer

PlayStation Global; Greater London; Hybrid; GBP 75,000 - 95,000; Full time

Job summary

A leading interactive entertainment company in Greater London is seeking a Senior or Staff Machine Learning Engineer to enhance game rendering and streaming through advanced R&D. Ideal candidates will have a relevant PhD or MSc and substantial experience in TensorFlow, PyTorch, and Python. Responsibilities include developing generative models for video processing and collaborating on publications. The firm offers a hybrid work model, competitive benefits, and promotes an inclusive work environment.

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

Qualifications

• PhD or MSc in a relevant field or equivalent work experience.
• Minimum of 3 years of experience in advanced applications in image/video processing.
• Evidence of leading technical developments with at least 1 publication in a top-tier conference.

Responsibilities

• Develop and improve core generative models for graphics and video processing.
• Research new methods for graphics enhancement and data generation.
• Participate in core R&D work with teams within Sony Interactive Entertainment.

Skills

TensorFlow

PyTorch

Python

Computer Vision

Machine Learning

Education

PhD or MSc in Computer Science, Electronic Engineering, or related field

Tools

HDF5

Unreal Engine

Unity

Job description

Why PlayStation

PlayStation isnt just the Best Place to Play its also the Best Place to Work. Today were 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.

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. VCGs 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.

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

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.