Staff Machine Learning Engineer

Job Description

Staff Engineer, Machine Learning

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 talented Staff 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 Staff 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.

Responsibilities:
• 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.
• Mentor junior members of the team, providing guidance, sharing best practices and encouraging open discussions.
• 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.

Qualifications:
• Master's degree in computer science, electrical engineering, robotics, statistics, mathematics, or a related field. PhD is a plus.
• 6+ years in machine learning with published research papers and proven experience in Imitation Learning and Reinforcement Learning.
• Expertise in programming languages and frameworks relevant to machine learning, including Python, NumPy and Pytorch.
• Strong 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 organization, 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!

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.

Jobcode: Reference SBJ-rbkj2x-18-191-235-71-42 in your application.