Staff Machine Learning Engineer

Staff Machine Learning Engineer

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
S

At a Glance

  • Tasks: Join us to innovate game rendering and streaming with cutting-edge machine learning techniques.
  • Company: PlayStation is a global leader in entertainment, creating iconic gaming products and services.
  • Benefits: Enjoy hybrid working, private medical insurance, 25 days holiday, and access to an on-site gym.
  • Why this job: Be part of a diverse team pushing the boundaries of technology in gaming and live streaming.
  • Qualifications: PhD or MSc in relevant fields with strong experience in machine learning and computer graphics required.
  • Other info: We value diversity and encourage all passionate individuals to apply, regardless of background.

The predicted salary is between 43200 - 72000 £ per year.

PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re 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.

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.

Staff Machine Learning Engineer employer: Sony Interactive Entertainment

At PlayStation, we pride ourselves on being a leader in the entertainment industry while fostering a vibrant and inclusive work culture that values diversity and innovation. As a Staff Machine Learning Engineer, you will have access to exceptional employee growth opportunities, including collaboration with top-tier professionals and involvement in cutting-edge R&D projects. Our hybrid working model, comprehensive benefits like private medical insurance, and a supportive environment make PlayStation an outstanding employer for those passionate about technology and creativity.
S

Contact Detail:

Sony Interactive Entertainment Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Staff Machine Learning Engineer

✨Tip Number 1

Familiarise yourself with the latest advancements in machine learning and graphics processing. Follow key conferences like CVPR and SIGGRAPH to stay updated on cutting-edge research, which can help you speak knowledgeably during interviews.

✨Tip Number 2

Engage with the PlayStation community online. Join forums or social media groups where discussions about game development and machine learning take place. This can provide insights into the company culture and current projects.

✨Tip Number 3

Showcase your practical experience with TensorFlow or PyTorch by working on personal projects or contributing to open-source initiatives. Having a portfolio of relevant work can set you apart from other candidates.

✨Tip Number 4

Network with professionals in the industry, especially those who have experience at Sony or similar companies. Attend meetups or webinars focused on machine learning and gaming to make valuable connections that could lead to referrals.

We think you need these skills to ace Staff Machine Learning Engineer

Proficiency in TensorFlow or PyTorch
Strong programming skills in Python
Experience with computer vision and graphics libraries
Knowledge of neural network architectures
Ability to formulate and test advanced loss functions
Experience in training, validation, and evaluation of deep neural networks
Familiarity with large datasets and data handling libraries like HDF5
Understanding of the graphics pipeline and related concepts
Experience with image processing theory and methods
Familiarity with 3D engines such as Unreal or Unity
Research publication experience in top-tier conferences
Strong collaboration and communication skills
Problem-solving skills in a research and development context
Ability to prototype new methods for graphics or video enhancement

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, computer graphics, and any specific projects that align with the role. Use keywords from the job description to demonstrate your fit for the position.

Craft a Strong Cover Letter: Write a cover letter that showcases your passion for gaming and technology. Discuss your experience with TensorFlow or PyTorch and how it relates to the responsibilities of the role. Be sure to mention any publications or significant projects.

Showcase Your Projects: Include links to any relevant projects or publications in your application. This could be GitHub repositories, research papers, or portfolio pieces that demonstrate your skills in machine learning and graphics processing.

Prepare for Technical Questions: Anticipate technical questions related to neural networks, image processing, and the graphics pipeline. Brush up on your knowledge of advanced loss functions and neural network architectures to impress during potential interviews.

How to prepare for a job interview at Sony Interactive Entertainment

✨Showcase Your Technical Skills

Be prepared to discuss your experience with TensorFlow, PyTorch, and Python in detail. Highlight specific projects where you've developed advanced applications in image or video processing, as this will demonstrate your hands-on expertise.

✨Discuss Your Research Publications

If you have published research in top-tier conferences, be ready to talk about your contributions. Explain the significance of your work and how it relates to the role, as this shows your commitment to advancing the field of machine learning.

✨Understand the Graphics Pipeline

Brush up on your knowledge of the graphics pipeline, including concepts like rasterization and ray tracing. Being able to discuss these topics will show that you have a solid theoretical understanding, which is crucial for the position.

✨Prepare for Collaborative Questions

Since the role involves collaboration with other teams, think of examples from your past experiences where you successfully worked in a team setting. Be ready to discuss how you contributed to group projects and handled any challenges that arose.

S
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>