Research Engineer - Machine Learning (Basé à London)

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 Group Corporation.

Location: London, UK

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 talentedMachine LearningEngineer specialising in Imitation Learning to join our dynamic R&D team.

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 aMachine LearningEngineer, 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:

1. Imitation Learning Development: Design, develop and implement novel machine learning techniques to solve diverse tasks in game development.
2. Research and Innovation:Contribute to the authorship of team research papers, presenting at relevant conferences.
3. Data Analysis:Perform data analysis and cleaning to uncover insights and patterns.
4. Collaboration and Creativity:Work with cross-functional teams to deploy machine learning models in production environments, solving issues and ensuring scalability and performance.
5. Communication:Present findings to stakeholders, communicating complex technical issues to both technical and non-technical colleagues.
6. Continuous Learning:Stay current with the latest machine learning and artificial intelligence research, attending top-tier conferences and communicating information across the team.
7. Prototyping:Quickly prototype new ideas and technologies to evaluate relevance and performance.
8. Inclusive Culture:Contribute to maintaining a culture of innovation, curiosity, creativity, and continuous learning within the team.