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For Companies At a Glance
- Tasks: Develop innovative algorithms for game technology and collaborate with global teams.
- Company: Join PlayStation, a leader in entertainment and gaming innovation.
- Benefits: Enjoy private medical insurance, 25 days holiday, and a gym on-site.
- Why this job: Work on cutting-edge projects in a creative team that values diversity and innovation.
- Qualifications: Experience in Deep Learning, C++, and 3D maths is essential.
- Other info: Opportunity to work on iconic games and technologies like PS5 and VR.
The predicted salary is between 48000 - 72000 £ per year.
Location: United Kingdom, London
Why PlayStation?
PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. We’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, and acclaimed PlayStation software titles from PlayStation Studios. We strive to create an inclusive environment that empowers employees and embraces diversity. We welcome everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.
Experienced Machine Learning Engineer for Game Technology
We are looking for an experienced machine learning engineer with a solid understanding of low-level systems programming. If you are as comfortable in the memory view of your debugger as you are with training networks to solve problems, we would love to hear from you. This role could suit an experienced embedded/games industry programmer with a passion for Machine Learning, or an accomplished Machine Learning/Vision programmer with a good understanding of computer architecture and performance.
The Team
The Advanced Technology Group (ATG) is part of PlayStation Studios and contributes to some of the most recognizable and ambitious console games and franchises. In addition to developing ground-breaking technology for our games, the group is also a key contributor to platform development, responsible for a large part of the GPU software stack that all PS5 games are built with. You will be part of a small creative team of ATG programmers tackling problems centered around computer vision and machine learning. Examples of projects include the runtime tracking of PlayStation VR2 Sense controllers and a novel facial performance capture system used to produce assets for AAA games.
Role Overview
You are expected to develop innovative algorithms to solve novel problems, make technology choices, prototype solutions, and bring them to production. Some systems are expected to run on millions of PlayStations in homes, making high run-time performance crucial. You should stay up to date with competition and the industry’s latest advances and academic developments. The role also involves close collaboration with teams in Europe, the U.S., and Japan, as well as technical communication of the ideas and solutions developed.
What we’re looking for
- Extensive experience with modern Deep Learning (PyTorch/TensorFlow): You will be expected to make decisions about data and architectures, implement pipelines for training and validation, and develop and deploy models in production.
- Experience with C++ programming and strong debugging skills.
- Understanding and experience of 3D maths/geometry: Including multiple-view geometry and 3D mesh representations.
Nice-to-have
- Experience with Graphics and/or Game Engines.
- Experience with Computer Vision.
Benefits
- Discretionary bonus opportunity
- Private Medical Insurance
- 25 days holiday per year
- On Site Gym
- Free soft drinks
- Access to cycle garage and showers
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.
Machine Learning Engineer for Game Technology (London) employer: Agrisano Unternehmungen
Contact Detail:
Agrisano Unternehmungen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer for Game Technology (London)
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning and game technology. Follow industry leaders on social media, read relevant research papers, and engage in online forums to stay updated. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the gaming and machine learning sectors. Attend industry conferences, webinars, or local meetups to connect with potential colleagues or mentors. Building relationships can often lead to job opportunities that aren't advertised publicly.
✨Tip Number 3
Showcase your projects related to machine learning and game technology on platforms like GitHub. Having a portfolio of your work can significantly enhance your application, as it provides tangible evidence of your skills and creativity in solving complex problems.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and system design questions, particularly in C++ and machine learning frameworks like PyTorch or TensorFlow. Use platforms like LeetCode or HackerRank to sharpen your skills and boost your confidence before the interview.
We think you need these skills to ace Machine Learning Engineer for Game Technology (London)
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to understand the specific skills and experiences required for the Machine Learning Engineer position. Tailor your application to highlight relevant experience in deep learning, C++, and 3D maths.
Craft a Tailored CV: Ensure your CV reflects your experience with modern deep learning frameworks like PyTorch or TensorFlow. Include specific projects or achievements that demonstrate your skills in machine learning and systems programming.
Write a Compelling Cover Letter: In your cover letter, express your passion for gaming technology and how your background aligns with the role. Mention any relevant projects or collaborations that showcase your ability to work in a team and solve complex problems.
Highlight Collaboration Skills: Since the role involves working closely with teams across different regions, emphasise your communication skills and any previous experience collaborating on international projects. This will show your ability to thrive in a diverse environment.
How to prepare for a job interview at Agrisano Unternehmungen
✨Showcase Your Technical Skills
Be prepared to discuss your experience with modern Deep Learning frameworks like PyTorch or TensorFlow. Bring examples of projects where you've implemented training pipelines and deployed models, as this will demonstrate your hands-on expertise.
✨Demonstrate Problem-Solving Abilities
Since the role involves tackling novel problems, be ready to discuss specific challenges you've faced in previous projects. Explain your thought process and how you approached finding solutions, particularly in areas related to machine learning and computer vision.
✨Understand the Gaming Context
Familiarise yourself with PlayStation's products and the gaming industry as a whole. Showing that you understand the unique challenges and opportunities in game technology will help you stand out as a candidate who is genuinely interested in the role.
✨Prepare for Collaborative Discussions
Given the collaborative nature of the team, be ready to discuss how you've worked with others in the past. Highlight your communication skills and any experience you have working across different teams or regions, as this will be crucial for success in the role.
