Machine Learning Engineer in London

Machine Learning Engineer in London

London Full-Time 60000 - 80000 € / year (est.) Home office (partial)
Sony

At a Glance

  • Tasks: Develop cutting-edge machine learning 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 workplace with opportunities for growth and innovation.
  • Why this job: Be part of a team redefining gaming experiences with advanced technology.
  • Qualifications: PhD or MSc in relevant fields and strong experience in machine learning.

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 Machine Learning Engineer/Senior ML Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of game play 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 prototyping of 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.
  • 3+ 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. 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.

Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Machine Learning Engineer in London employer: Sony

At Sony Interactive Entertainment, we pride ourselves on being not just the Best Place to Play, but also the Best Place to Work. Our dynamic work culture fosters innovation and creativity, offering employees opportunities for growth through cutting-edge projects in machine learning and visual computing. With benefits like hybrid working, private medical insurance, and a supportive environment that values diversity and inclusion, SIE is an exceptional employer for those looking to make a meaningful impact in the gaming industry.

Sony

Contact Detail:

Sony Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Machine Learning Engineer in London

Tip Number 1

Network like a pro! Reach out to current employees at Sony Interactive Entertainment on LinkedIn. A friendly message can go a long way in getting your foot in the door and showing your genuine interest in the company.

Tip Number 2

Prepare for technical interviews by brushing up on your machine learning concepts and coding skills. Practice common algorithms and data structures, and don’t forget to review your past projects to discuss them confidently!

Tip Number 3

Showcase your passion for gaming and technology during interviews. Share your thoughts on recent advancements in machine learning and how they could impact game rendering or streaming. This will demonstrate your enthusiasm and knowledge about the industry.

Tip Number 4

Don’t just apply through job boards; head over to our website and submit your application directly. It shows initiative and gives you a better chance of standing out in the crowd!

We think you need these skills to ace Machine Learning Engineer in London

Machine Learning
Neural Networks
TensorFlow
PyTorch
Python
Computer Vision
Image Processing

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your relevant experience with TensorFlow or PyTorch, and any projects that showcase your skills in graphics and video processing.

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 research that demonstrate your expertise.

Showcase Your Projects:Include links to your GitHub or portfolio where you’ve showcased your work on neural networks or graphics applications. This gives us a tangible sense of your skills and creativity!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Sony

Know Your Tech Inside Out

Make sure you’re well-versed in the latest machine learning frameworks like TensorFlow and PyTorch. Brush up on your Python skills and be ready to discuss specific projects where you've applied these technologies, especially in image or video processing.

Showcase Your Research

Prepare to talk about your research publications and any significant contributions you've made to the field. Highlight your experience with top-tier conferences and how your work has pushed the boundaries of machine learning in graphics or video enhancement.

Understand the Graphics Pipeline

Familiarise yourself with the graphics pipeline, including concepts like PBR materials and ray tracing. Being able to discuss these topics will show that you have a solid theoretical understanding, which is crucial for the role.

Collaborative Spirit

Emphasise your ability to work in a team, especially in R&D settings. Be prepared to share examples of how you've collaborated on projects, drafted publications, or contributed to patent submissions, as teamwork is key at Sony Interactive Entertainment.