At a Glance
- Tasks: Lead a dynamic team in developing cutting-edge machine learning for game rendering and streaming.
- Company: Join PlayStation, a global leader in entertainment and innovation.
- Benefits: Enjoy hybrid working, private medical insurance, and 25 days holiday per year.
- Other info: Inclusive culture that values diversity and personal growth.
- Why this job: Make a real impact in the gaming industry with advanced technology and creative collaboration.
- Qualifications: Proven experience in machine learning, graphics, and leading high-performance teams.
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 Lead or Senior Lead: Machine Learning to join the Visual Computing Group (VCG). This role contributes to redefining game play and live streaming through 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.
Who Are You?
- You have a demonstrated ability in managing high performance research teams in the field of ML or Graphics.
- You are a dynamic and visionary leader with a passion for building and leading high-performance teams.
- Your leadership style is grounded in clear communication, inspiration, and empathy.
- You possess the ability to motivate and empower your team, fostering an environment where creativity and collaboration thrive.
- A strong advocate for personal and professional growth, you ensure that every team member feels valued and heard.
- Your approach to leadership is proactive, adaptable, and driven by a deep commitment to the success of both your team and the organization.
- Experience in coaching and mentoring team members, fostering an inclusive and collaborative work environment.
- You have the courage to speak up and take smart risks.
- You have strong and well-formed technical ideas that are weakly held; you can discuss, listen and participate in a passionate debate.
- You are experienced in managing team communications in a large organization.
What Do You Do?
- As a Manager / Senior Manager within the Visual Computing Group, you will lead a multidisciplinary team of machine learning engineers and researchers focused on neural‑assisted game rendering.
- You will be responsible for coordinating the build, prototyping, development and integration of brand new visual computing technologies into our products.
- Your role also involves managing project timelines, ensuring high‑quality work, and collaborating with multi‑functional teams to drive innovation.
- You will also play a key role in aligning the team’s work with the overall strategic objectives of the company, balancing the demands of ongoing projects with the need for continuous improvement and technical debt management.
- You will meet with collaborators to build partnerships and establish positive and trustworthy relationships.
What Knowledge Do You Have?
- Domain Expertise: Extensive technical experience and track record of accomplishments within various areas including intelligent systems, visual computing, real‑time graphics processing within game engines, or graphics. Proven track record in managing and delivering sophisticated projects within these areas.
- Technical Skills: Proficiency in programming languages and tools relevant to visual computing (e.g., C++, Python, OpenGL, DirectX). Familiarity with machine learning frameworks and their application in visual computing.
- Knowledge in computer vision and machine learning: advanced neural network architectures applied to image analysis and video processing (diffusion models, transformers, distribution alignment, advanced loss functions for computer vision problems).
- Knowledge in game engine rendering: knowledge of the stages of the game rendering pipeline, examples in UE5 or similar, knowledge of ray tracing or path tracing, advanced machine learning methods for global illumination, path tracing, frame interpolation and super‑resolution in game rendering.
Educational Background: A degree in Computer Science, Engineering, or a related field, or equivalent experience; advanced degrees are a plus.
Industry Knowledge: Up‑to‑date with the latest trends and technologies in one or more of: machine learning, computer vision, game engine rendering. Experience in the interactive entertainment industry or a related field is highly desirable.
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. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Senior Manager, Machine Learning employer: Sony Playstation
At PlayStation, we pride ourselves on being not only a leader in the gaming industry but also an exceptional employer. Our inclusive work culture fosters creativity and collaboration, empowering employees to thrive while pursuing their passion for innovation and technology. With opportunities for personal and professional growth, competitive benefits like hybrid working, private medical insurance, and a vibrant workplace environment, joining our team means becoming part of a dynamic community dedicated to redefining entertainment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager, Machine Learning
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at PlayStation. Attend events, webinars, or even local meetups. 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 or GitHub repository showcasing your machine learning projects. This is your chance to demonstrate your expertise in neural networks and game rendering, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by diving deep into PlayStation's products and technologies. Familiarise yourself with their latest innovations in visual computing and think about how your experience aligns with their mission. This will help you articulate your fit for the role.
✨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. So, get that application in and let’s make some magic happen!
We think you need these skills to ace Senior Manager, Machine Learning
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Manager, Machine Learning role. Highlight your experience in managing high-performance teams and your technical skills in machine learning and visual computing. We want to see how your background aligns with our mission!
Showcase Your Leadership Style:In your application, let us know about your leadership approach. Share examples of how you've motivated and empowered your team in the past. We value clear communication and empathy, so don’t hold back on sharing your experiences!
Demonstrate Your Technical Expertise:Be sure to include specific examples of your technical skills, especially in programming languages like C++ and Python, as well as your familiarity with machine learning frameworks. We’re looking for someone who can bring innovative ideas to the table, so show us what you’ve got!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re genuinely interested in joining our team at PlayStation!
How to prepare for a job interview at Sony Playstation
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in programming languages like C++ and Python, as well as machine learning frameworks. Be ready to discuss advanced neural network architectures and their applications in visual computing, as this will likely come up during the interview.
✨Showcase Your Leadership Style
Prepare to talk about your leadership approach and how you foster an inclusive and collaborative environment. Think of specific examples where you've motivated your team or managed high-performance research teams, as this aligns with what they’re looking for in a Senior Manager.
✨Align with Company Goals
Understand PlayStation's mission and values, particularly around innovation and teamwork. Be ready to discuss how your previous projects align with their strategic objectives and how you can contribute to their vision of redefining gameplay through advanced R&D.
✨Prepare for Collaborative Discussions
Since the role involves building partnerships and establishing relationships, think about how you can demonstrate your ability to communicate effectively with multi-functional teams. Prepare to engage in discussions that showcase your willingness to listen and adapt your ideas based on feedback.