At a Glance
- Tasks: Design and implement cutting-edge machine learning models for game development.
- Company: Join PlayStation, a global leader in entertainment and gaming innovation.
- Benefits: Enjoy hybrid work, private medical insurance, 25 days holiday, and more perks!
- Why this job: Be part of a creative team pushing the boundaries of AI in gaming.
- Qualifications: Master's degree in relevant fields; 2+ years in machine learning required.
- Other info: Work in a diverse environment and travel for conferences and collaborations.
The predicted salary is between 43200 - 72000 £ per year.
Why PlayStation? 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 PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation. At the forefront of innovation for PlayStation, the Future Technology Group is dedicated to creating immersive and unforgettable gaming experiences. As we continue to push the boundaries of technology, we are seeking a talented Machine Learning Engineer. A passion for pushing the boundaries of artificial intelligence and a commitment to publishing in top-tier conferences and journals are essential. Our team is at the forefront of Imitation Learning and Reinforcement Learning techniques for game-playing agents, and we seek an expert in the field to join us in developing new technologies. As a Machine Learning Engineer, you will be a key contributor to our research team, supporting the technical lead in driving technical excellence and innovation. You will be responsible for designing, implementing and optimising novel machine learning models and algorithms to perform challenging and diverse tasks. You will perform a central role in a highly collaborative and fast-moving environment where innovation and creativity are encouraged. What you’ll be doing: Design, develop and implement novel machine learning techniques to solve diverse tasks in game development. Perform data analysis and cleaning to uncover insights and patterns. Contribute to the authorship of team research papers, presenting at relevant conferences. Work with other SIE teams to deploy machine learning models in production environments, solving issues and ensuring scalability and performance. Present findings to stakeholders, communicating complex technical issues to both technical and non-technical colleagues. Stay current with the latest machine learning and artificial intelligence research, helping to communicate information across the team. Quickly prototype new ideas and technologies to evaluate relevance and performance. Contribute to maintaining a culture of innovation, curiosity, and continuous learning within the team. Help foster an inclusive and diverse work environment, where every team member feels valued, respected, and empowered. Operate in a diverse, global environment with teams spread across different time zones and a willingness to work outside normal working hours as required. Travel to conferences and for team collaborations. What we’re looking for: Master’s degree in computer science, electrical engineering, robotics, statistics, mathematics, or a related field. PhD is a plus. 2+ years in machine learning (or a related PhD) with published research papers and ideally some experience in Imitation Learning and Reinforcement Learning. Experience in programming languages and frameworks relevant to machine learning, including Python, NumPy and Pytorch. Good understanding of data analysis, mining and preprocessing Excellent problem-solving, communication and inter-personal skills An interest in gaming and exploring the intersection of machine learning and game technology is desirable. Join our dynamic and forward-thinking organisation, where your expertise in machine learning will contribute to the creation of groundbreaking gaming experiences. If you are passionate about machine learning research, driving innovation, and sharing the future of gaming, we’d like to hear from you! 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 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. #J-18808-Ljbffr
Machine Learning Engineer employer: PlayStation Global
Contact Detail:
PlayStation Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Make sure to showcase your passion for gaming and machine learning in your conversations. When networking or during interviews, share specific examples of how you've applied machine learning techniques in game development or related projects.
✨Tip Number 2
Stay updated on the latest trends in Imitation Learning and Reinforcement Learning. Being able to discuss recent advancements or breakthroughs in these areas can set you apart and demonstrate your commitment to innovation.
✨Tip Number 3
Engage with the PlayStation community online. Participate in forums, attend gaming conferences, and connect with current employees on platforms like LinkedIn. This can provide valuable insights into the company culture and the specific skills they value.
✨Tip Number 4
Prepare to discuss your previous research and any published papers in detail. Be ready to explain your methodologies and findings, as well as how they relate to the work being done at PlayStation, especially in the context of gaming technology.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure to customize your CV to highlight your experience in machine learning, particularly in Imitation Learning and Reinforcement Learning. Include specific projects or research that demonstrate your skills and passion for gaming technology.
Craft a Compelling Cover Letter: Write a cover letter that reflects your enthusiasm for the role and the company. Discuss your relevant experience, your commitment to innovation, and how you can contribute to the team’s goals in developing groundbreaking gaming experiences.
Showcase Your Research: If you have published research papers, mention them in your application. Highlight any conferences where you've presented your work, as this aligns with the company's focus on technical excellence and innovation.
Demonstrate Communication Skills: In your application, emphasize your ability to communicate complex technical concepts to both technical and non-technical audiences. This is crucial for the role, as you'll be presenting findings to stakeholders.
How to prepare for a job interview at PlayStation Global
✨Show Your Passion for Gaming
Make sure to express your enthusiasm for gaming and how it intersects with machine learning. Share any personal projects or experiences that highlight your interest in this area.
✨Demonstrate Technical Expertise
Be prepared to discuss your experience with machine learning techniques, especially Imitation Learning and Reinforcement Learning. Bring examples of your work, including any published research papers, to showcase your expertise.
✨Communicate Complex Ideas Clearly
Practice explaining complex technical concepts in a way that is accessible to both technical and non-technical audiences. This skill is crucial as you'll need to present findings to diverse stakeholders.
✨Emphasize Collaboration and Innovation
Highlight your ability to work in a collaborative environment and your commitment to fostering innovation. Share examples of how you've contributed to team projects and maintained a culture of continuous learning.