At a Glance
- Tasks: Develop cutting-edge ML models for game rendering and live streaming.
- Company: Join Sony Interactive Entertainment, the powerhouse behind PlayStation.
- Benefits: Enjoy hybrid working, private medical insurance, and 25 days holiday.
- Other info: Inclusive culture that values diversity and empowers employees.
- Why this job: Be part of a team redefining gameplay with advanced technology.
- Qualifications: PhD or MSc in relevant fields and 5+ years of industry experience.
The predicted salary is between 60000 - 80000 £ per year.
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting‑edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Role Description
We are looking for an independent, dedicated Senior ML Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of gameplay 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 prototype 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.
- 5+ years of experience in demonstrable research experience in industry or academia.
- 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 for ML engineer, minimum 5 years for Senior ML engineer).
- 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.
Benefits:
- Discretionary bonus opportunity.
- Hybrid Working (within Flexmodes).
- 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. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment. 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.
Sr. Machine Learning Engineer employer: Sony Interactive Entertainment
Contact Detail:
Sony Interactive Entertainment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Sony Interactive Entertainment. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to machine learning and graphics. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML scenarios and be ready to discuss your past projects in detail.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the team at Sony Interactive Entertainment.
We think you need these skills to ace Sr. Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior ML Engineer. Highlight your experience with TensorFlow or PyTorch, and any relevant projects that showcase your skills in machine learning and computer graphics.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with SIE's mission. Don’t forget to mention any publications or patents you've contributed to!
Showcase Your Research Experience: Since research experience is key for this role, be sure to detail your contributions to any projects or papers. Mention specific technologies and methodologies you’ve used, especially those related to neural networks and graphics processing.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets to the right people!
How to prepare for a job interview at Sony Interactive Entertainment
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning frameworks like TensorFlow and PyTorch. Be ready to discuss your experience with generative models and any relevant projects you've worked on, especially those related to graphics and video processing.
✨Showcase Your Research
Prepare to talk about your research publications and how they relate to the role. Highlight any significant contributions you've made in top-tier conferences, as this will demonstrate your expertise and commitment to advancing the field.
✨Collaborate and Communicate
Since collaboration is key in this role, think of examples where you've successfully worked with others on R&D projects. Be ready to discuss how you approach teamwork and share ideas, especially in a tech-driven environment like Sony Interactive Entertainment.
✨Understand the Graphics Pipeline
Familiarise yourself with the graphics pipeline and be prepared to discuss concepts like PBR materials, rasterization, and ray tracing. This knowledge will show that you have a solid theoretical understanding that complements your practical skills.