Sr. Machine Learning Engineer

Sr. Machine Learning Engineer

Full-Time 70000 - 90000 € / year (est.) No home office possible
PlayStation Network

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 with 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.

Discretionary bonus opportunity. Hybrid Working (within Flexmodes). Private Medical Insurance. 25 days holiday per year. On Site Gym. Free soft drinks. 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: PlayStation Network

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 ample opportunities for growth and development in cutting-edge technology. With benefits like hybrid working options, private medical insurance, and access to on-site amenities, we ensure that our team members thrive both personally and professionally in a dynamic environment.

PlayStation Network

Contact Detail:

PlayStation Network Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Sr. Machine Learning Engineer

Network Like a Pro

Get out there and connect with folks in the industry! Attend meetups, conferences, or even online webinars related to machine learning and gaming. You never know who might have a lead on your dream job at PlayStation!

Show Off Your Skills

Create a portfolio showcasing your projects, especially those involving TensorFlow or PyTorch. Share your work on GitHub or personal websites, and make sure to highlight any publications or patents you've contributed to. This will help us see your expertise in action!

Ace the Interview

Prepare for technical interviews by brushing up on your knowledge of neural networks and graphics processing. Practice coding challenges and be ready to discuss your past projects in detail. Remember, we want to see how you think and solve problems!

Apply Through Our Website

Don’t forget to apply directly through the PlayStation careers page! It’s the best way to ensure your application gets seen by the right people. Plus, it shows your genuine interest in joining our awesome team!

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

Machine Learning
Neural Networks
TensorFlow
PyTorch
Python
Computer Vision
Graphics 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 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 PlayStation's mission. Don’t forget to mention any innovative projects you've worked on!

Showcase Your Research:If you have publications or patents, make sure to include them in your application. This shows us that you’re not just experienced but also actively contributing to the field of machine learning and graphics.

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way to ensure your application gets into the right hands and stands out to our hiring team!

How to prepare for a job interview at PlayStation Network

Know Your Stuff

Make sure you brush up on your knowledge of machine learning frameworks like TensorFlow and PyTorch. Be ready to discuss your past projects in detail, especially those involving generative models and neural networks. This is your chance to showcase your expertise!

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 gaming or video processing.

Collaborate and Communicate

Since this role involves teamwork, think of examples where you've successfully collaborated with others. Be ready to discuss how you approach drafting publications or patent submissions, as well as how you communicate complex ideas to non-technical team members.

Understand the Graphics Pipeline

Brush up on your understanding of 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 foundation, which is crucial for the role.