At a Glance
- Tasks: Develop innovative ML solutions for games and collaborate with a creative team.
- Company: Join the Advanced Technology Group at PlayStation, a leader in game development.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Work in a dynamic environment with global collaboration and exciting projects.
- Why this job: Make an impact on AAA games with cutting-edge technology and machine learning.
- Qualifications: Experience in Deep Learning, Pytorch, and strong debugging skills required.
The predicted salary is between 50000 - 70000 € per year.
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 (Desirable).
- Experience with Graphics and/or Game Engines (Desirable).
- Experience with Computer Vision.
What the job involves
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 to get the most out of PlayStation hardware, and this is still true today. 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, prototype solutions and bringing 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.
Deep Learning Engineer (for Game Technology) in London employer: Deepstreamtech
As a Deep Learning Engineer at our Advanced Technology Group, you will thrive in an inclusive and diverse environment that champions innovation and creativity. With opportunities for professional growth and collaboration across global teams, you will be at the forefront of developing cutting-edge machine learning solutions for PlayStation games, all while enjoying a supportive work culture that values your contributions and encourages continuous learning.
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! Get out there and connect with folks in the gaming and machine learning communities. Attend meetups, webinars, or even online forums. 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. Whether it's a personal project or something you've shipped, having tangible evidence of your expertise can really set you apart.
✨Tip Number 3
Prepare for technical interviews by brushing up on your debugging skills and understanding of 3D maths/geometry. Practice common interview questions and coding challenges that relate to deep learning and game engines. We want you to feel confident when it’s time to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates who are eager to join our team and contribute to exciting projects in the gaming industry.
We think you need these skills to ace Deep Learning Engineer (for Game Technology) in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Deep Learning and Pytorch in your application. We want to see how you've made decisions about data and architectures, so don’t hold back on sharing your past projects or any cool pipelines you've implemented!
Be Specific About Your Experience:When you describe your production-facing software development experience, be specific! We love details, so mention the debugging skills you've honed and any ML networks you've shipped. This helps us understand your applied engineering skills better.
Connect the Dots:If you have experience with 3D maths/geometry or game engines, make sure to connect that to the role. We’re looking for someone who can tackle problems in computer vision and machine learning, so show us how your background fits into that picture!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get to know you better. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Deepstreamtech
✨Brush Up on Deep Learning and PyTorch
Make sure you’re well-versed in modern deep learning techniques and have hands-on experience with PyTorch. Be ready to discuss your past projects, especially those involving data architectures and model deployment, as this will show your practical knowledge.
✨Showcase Your Debugging Skills
Prepare to demonstrate your debugging skills during the interview. You might be asked to solve a problem on the spot, so practice explaining your thought process clearly while working through a coding challenge or debugging a piece of code.
✨Understand 3D Maths and Geometry
Since the role involves 3D maths and geometry, brush up on these concepts. Be prepared to discuss how they relate to your previous work, especially if you've tackled problems involving multiple-view geometry or 3D mesh representations.
✨Stay Current with Industry Trends
Keep yourself updated on the latest advancements in machine learning and game technology. Being able to discuss recent developments or competitors' innovations can set you apart and show your passion for the field.
