Sr. Machine Learning Engineer

Sr. Machine Learning Engineer

Full-Time 70000 - 90000 £ / year (est.) No working from home possible
Sony Playstation

At a Glance

  • Tasks: Develop cutting-edge ML models for game rendering and live streaming.
  • Company: Join PlayStation, a global leader in entertainment and innovation.
  • Benefits: Enjoy hybrid working, private medical insurance, and 25 days holiday.
  • Other info: Inclusive culture that values diversity and empowers creativity.
  • Why this job: Make an impact in gaming technology while collaborating with top talent.
  • Qualifications: PhD or MSc in relevant fields and 5+ years of industry experience.

The predicted salary is between 70000 - 90000 £ 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 an independent, dedicated 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.
  • 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.

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.

Sr. Machine Learning Engineer employer: Sony Playstation

At PlayStation, we pride ourselves on being not only a leader in entertainment but also an exceptional employer. Our inclusive work culture fosters innovation and collaboration, providing employees with opportunities for professional growth through cutting-edge projects in machine learning and visual computing. With benefits like hybrid working, private medical insurance, and a vibrant on-site environment, we ensure that our team members thrive both personally and professionally in our dynamic location.

Sony Playstation

Contact Details:

Sony Playstation Recruitment 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 PlayStation. Attend meetups or online events where you can chat with current employees and get the inside scoop on what they’re looking for.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and graphics. This is your chance to demonstrate your expertise and creativity beyond just a CV.

Tip Number 3

Prepare for interviews by brushing up on technical questions and practical scenarios. We recommend practicing coding challenges and discussing your past projects in detail to highlight your problem-solving skills.

Tip Number 4

Don’t forget to 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 PlayStation team.

We think you need these skills to ace Sr. Machine Learning Engineer

Machine Learning
Neural Network Architectures
TensorFlow
PyTorch
Python
Computer Vision
Image Processing

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 graphics 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 PlayStation'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 generative models or video processing. This gives us a clear view of your practical skills and creativity in action!

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 shows you’re serious about joining our team!

How to prepare for a job interview at Sony Playstation

Know Your Tech Inside Out

Make sure you’re well-versed in the latest advancements in machine learning and graphics processing. Brush up on your experience with TensorFlow or PyTorch, and be ready to discuss specific projects where you've applied these technologies.

Showcase Your Research

Prepare to talk about your research publications and any innovative projects you've led. Highlight your contributions to top-tier conferences like CVPR or SIGGRAPH, as this will demonstrate your expertise and commitment to the field.

Collaborate and Communicate

Since collaboration is key in this role, think of examples where you’ve worked effectively in a team. Be ready to discuss how you’ve contributed to drafting publications or patent submissions, showcasing your ability to work with others.

Understand the Graphics Pipeline

Familiarise yourself with the graphics pipeline and related 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.