Deep Learning Engineer for Game Technology in London

Deep Learning Engineer for Game Technology in London

London Full-Time 60000 - 80000 € / year (est.) No home office possible
Sony Interactive Entertainment

At a Glance

  • Tasks: Develop innovative ML solutions for games and the development pipeline.
  • Company: Join PlayStation, a global leader in entertainment and gaming technology.
  • Benefits: Enjoy a competitive salary, private medical insurance, and 25 days holiday.
  • Other info: Collaborate with teams across Europe, the U.S., and Japan in a creative environment.
  • Why this job: Work on cutting-edge projects that impact millions of gamers worldwide.
  • Qualifications: Experience with Deep Learning, PyTorch, and strong debugging skills required.

The predicted salary is between 60000 - 80000 € 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 PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity.

We are looking for a machine learning engineer with a solid understanding of low‑level systems programming. If you are as comfortable in the memory view of your debugger as you are with training networks to solve problems, we would love to hear from you. This role could suit an experienced embedded/games industry programmer with a passion for Machine Learning, or an accomplished Machine Learning/Vision programmer with a good understanding of computer architecture and performance.

The Advanced Technology Group (ATG) is a part of Foundational Systems and Experiences Engineering (FSEE) within the Platform Business Group. Established over 20 years ago as part of PlayStation’s first‑party game development studios, ATG’s focus has always been to help game developers get the most out of PlayStation hardware. The majority of the group holds responsibility for a large part of the GPU software stack used by all PlayStation games, which allows us to collaborate with engineering teams worldwide, from third‑party game developers to hardware vendors, to deliver key platform technologies.

You will be part of a small creative team within ATG, tackling problems centred around computer vision and machine learning. Examples of projects include a novel facial performance capture system used to produce assets for AAA games, and building a general‑purpose solution for on‑console inference.

You will be expected to develop innovative ML solutions for deployment in games and in the development pipeline. This also involves making technology choices, prototyping solutions, and bringing them to production. Some of these systems will run on millions of PlayStations in people’s homes, making high run‑time performance crucial. You should stay up to date with the competition and the industry’s latest advances and academic developments. The role also involves close collaboration with our other teams in Europe, the U.S. and Japan, as well as technical communication of the ideas and solutions developed.

Essential Requirements

  • Experience with modern Deep Learning and PyTorch: You will be expected to make decisions about data and architectures, to implement pipelines for training and validation and to develop and deploy models in production.
  • Experience with production‑facing software development and strong debugging skills. This also requires demonstrating applied engineering skills through a shipped ML network or personal project.
  • Understanding of 3D maths/geometry: Including multiple‑view geometry and 3D mesh representations.

Nice‑to‑have

  • Experience with Graphics and/or Game Engines
  • Experience with Computer Vision

Benefits

  • Discretionary bonus opportunity
  • 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

Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

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.

Deep Learning Engineer for Game Technology in London employer: Sony Interactive Entertainment

At PlayStation, we pride ourselves on being a global leader in entertainment and technology, offering an inclusive work environment that fosters creativity and innovation. As a Deep Learning Engineer within our Advanced Technology Group, you'll have the opportunity to collaborate with talented teams across the globe while enjoying exceptional benefits such as private medical insurance, a discretionary bonus, and access to on-site facilities like a gym and café. Join us in shaping the future of gaming technology and take your career to new heights in a company that values diversity and employee growth.

Sony Interactive Entertainment

Contact Detail:

Sony Interactive Entertainment Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Deep Learning Engineer for Game Technology in London

Tip Number 1

Network like a pro! Reach out to folks in the gaming and tech industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to deep learning and game technology. This is your chance to shine and demonstrate what you can bring to the table.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team.

We think you need these skills to ace Deep Learning Engineer for Game Technology in London

Deep Learning
PyTorch
Machine Learning
Low-Level Systems Programming
Debugging Skills
3D Maths/Geometry
Computer Vision

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Deep Learning Engineer role. Highlight your experience with PyTorch and any relevant projects that showcase your skills in machine learning and game technology.

Show Off Your Passion:Let us see your enthusiasm for gaming and technology! Share any personal projects or contributions to open-source that demonstrate your love for innovation in the gaming industry.

Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your experience and how it relates to the role. We appreciate a well-structured application that gets straight to the point!

Apply Through Our Website:Don’t forget to submit your application through our official website. It’s the best way for us to receive your details and ensures you’re considered for the position. We can’t wait to hear from you!

How to prepare for a job interview at Sony Interactive Entertainment

Know Your Tech Inside Out

Make sure you’re well-versed in modern Deep Learning frameworks, especially PyTorch. Brush up on your understanding of data architectures and be ready to discuss how you've implemented training pipelines or deployed models in production.

Showcase Your Projects

Bring examples of your work to the interview. Whether it’s a shipped ML network or a personal project, having tangible evidence of your skills will help you stand out. Be prepared to explain your thought process and the challenges you faced.

Brush Up on 3D Maths

Since the role involves computer vision and geometry, make sure you understand concepts like multiple-view geometry and 3D mesh representations. Being able to discuss these topics confidently will show that you’re ready for the technical demands of the job.

Be Ready to Collaborate

This position requires close collaboration with teams across different regions. Prepare to discuss your experience working in diverse teams and how you communicate complex ideas effectively. Highlight any past experiences where teamwork led to successful outcomes.