Deep Learning Engineer for Game Technology

Deep Learning Engineer for Game Technology

Full-Time 60000 - 80000 £ / year (est.) No working from home 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.
  • Benefits: Enjoy a competitive salary, private medical insurance, and 25 days holiday.
  • Other info: Collaborate with teams globally in a creative and inclusive environment.
  • Why this job: Work on cutting-edge technology that impacts 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.

The 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. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.

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 employer: Sony Interactive Entertainment

At PlayStation, we pride ourselves on being not only a leader in the gaming industry but also an exceptional employer. Our inclusive work culture fosters innovation and collaboration, providing employees with opportunities for growth and development within a creative environment. With benefits like private medical insurance, a discretionary bonus, and access to on-site facilities, we ensure our team members are well-supported while they contribute to groundbreaking projects that reach millions of players worldwide.

Sony Interactive Entertainment

Contact Details:

Sony Interactive Entertainment Recruitment Team

StudySmarter Expert Advice🤫

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

Tip Number 1

Network like a pro! Reach out to folks in the gaming and tech industry on LinkedIn or at events. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to deep learning and game technology. This will give potential employers a taste of 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

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

Some tips for your application 🫡

Show Your Passion for Innovation:When writing your application, let us see your enthusiasm for technology and gaming shine through. Share any personal projects or experiences that highlight your curiosity and creativity in the field of deep learning and game technology.

Tailor Your Application:Make sure to customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We want to see how your background aligns with our needs, so don’t be shy about showcasing relevant projects or achievements.

Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your experience with deep learning, PyTorch, and any relevant software development. We appreciate a well-structured application that’s easy to read!

Apply Through Our Website:We encourage you to submit your application directly through our website. This ensures that your application gets to the right people quickly and efficiently. Plus, it’s the best way to stay updated on your application status!

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 along examples of your work, whether it’s a shipped ML network or a personal project. Be prepared to explain the challenges you faced and how you overcame them, as this will demonstrate your applied engineering skills.

Brush Up on 3D Maths

Since the role involves computer vision and game technology, having a solid grasp of 3D maths and geometry is crucial. Be ready to discuss concepts like multiple-view geometry and 3D mesh representations during your interview.

Collaborate and Communicate

This position requires close collaboration with teams across different regions. Practice articulating your ideas clearly and concisely, as effective communication will be key to your success in this role.