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For Companies At a Glance
- Tasks: Develop innovative algorithms for game technology and collaborate with global teams.
- Company: Join PlayStation, a leader in entertainment and gaming innovation.
- Benefits: Enjoy bonuses, private medical insurance, 25 days holiday, and on-site gym access.
- Why this job: Be part of a creative team solving exciting challenges in machine learning and computer vision.
- Qualifications: Experience in Deep Learning, C++, and 3D maths is essential; gaming experience is a plus.
- Other info: Inclusive workplace that values diversity and encourages all to apply.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Why PlayStation?
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. 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 Corporation.
Experienced Deep Learning Engineer for Game Technology
We are looking for an experienced 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 Team
The Advanced Technology Group (ATG) is part of PlayStation Studios, and contributes to some of the most recognisable and ambitious console games and franchises. In addition to its original mission of developing ground-breaking technology for our games, which this role falls under, the group is also a key contributor to platform development, with among other things responsibility for a large part of the GPU software stack all PS5 games are built with.
You will be part of a small creative team of ATG programmers tackling problems centred around computer vision and machine learning. Examples of some projects include the runtime tracking of PlayStation VR2 Sense controllers and a novel facial performance capture system used to produce assets for AAA games.
Role Overview
You are expected to develop innovative algorithms to solve novel problems, make technology choices, prototype solutions and bring them to production. Some of these systems are expected to 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.
What we\’re looking for
- Extensive experience with modern Deep Learning (PyTorch/TensorFlow): 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 C++ programming and strong debugging skills
- Understanding and experience 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 refer to our Candidate Privacy Notice for more information about how we process your personal information, 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.
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Contact Detail:
PlayStation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer for Game Technology
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning and deep learning frameworks like PyTorch and TensorFlow. Being able to discuss recent developments or breakthroughs in these areas during your interview can demonstrate your passion and commitment to the field.
✨Tip Number 2
Showcase your understanding of low-level systems programming by preparing examples of past projects where you optimised performance or solved complex problems. This will highlight your technical skills and ability to work on high-performance systems, which is crucial for this role.
✨Tip Number 3
Network with professionals in the gaming and machine learning industries. Attend relevant conferences or meetups, and engage with online communities. Building connections can provide insights into the company culture and may even lead to referrals.
✨Tip Number 4
Prepare to discuss your experience with 3D maths and geometry, as well as any projects involving computer vision. Being able to articulate how you've applied these concepts in practical scenarios will set you apart from other candidates.
We think you need these skills to ace Machine Learning Engineer for Game Technology
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning, deep learning frameworks like PyTorch or TensorFlow, and any relevant programming skills in C++. Emphasise your understanding of 3D maths and geometry, as this is crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for gaming technology and innovation. Mention specific projects or experiences that demonstrate your ability to develop algorithms and work collaboratively within a team, especially in high-performance environments.
Showcase Relevant Projects: If you have worked on any projects related to computer vision, game engines, or graphics, be sure to include these in your application. Provide links to your portfolio or GitHub repository where applicable, as this can set you apart from other candidates.
Highlight Soft Skills: PlayStation values collaboration and communication. In your application, mention instances where you've successfully worked in teams or communicated complex ideas effectively. This will show that you can thrive in their inclusive environment.
How to prepare for a job interview at PlayStation
✨Showcase Your Technical Skills
Be prepared to discuss your experience with modern Deep Learning frameworks like PyTorch or TensorFlow. Bring examples of projects where you've implemented training pipelines and deployed models, as this will demonstrate your hands-on expertise.
✨Understand the Role's Requirements
Familiarise yourself with the specific technologies mentioned in the job description, such as C++ programming and 3D maths. Being able to discuss how your background aligns with these requirements will show that you are a good fit for the role.
✨Prepare for Problem-Solving Questions
Expect to tackle technical challenges during the interview. Practice explaining your thought process when developing algorithms or solving problems related to computer vision and machine learning, as this will highlight your analytical skills.
✨Emphasise Collaboration and Communication
Since the role involves working closely with teams across different regions, be ready to discuss your experience in collaborative environments. Highlight any instances where you effectively communicated complex ideas or solutions to non-technical stakeholders.
