Machine Learning Engineer

  
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 Machine Learning Engineer 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 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: 
 

• Imitation Learning Development: Design, develop and implement novel machine learning techniques to solve diverse tasks in game development. 

• Research and Innovation: Contribute to the authorship of team research papers, presenting at relevant conferences. 

• Data Analysis: Perform data analysis and cleaning to uncover insights and patterns. 

• Collaboration and Creativity: Work with cross-functional teams to deploy machine learning models in production environments, solving issues and ensuring scalability and performance. 

• Communication: Present findings to stakeholders, communicating complex technical issues to both technical and non-technical colleagues. 

• Continuous Learning: Stay current with the latest machine learning and artificial intelligence research, attending top-tier conferences and communicating information across the team. 

• Prototyping: Quickly prototype new ideas and technologies to evaluate relevance and performance. 

• Inclusive Culture: Contribute to maintaining a culture of innovation, curiosity, creativity, and continuous learning within the team. 

What we are looking for:  
 

• Education: Master’s degree in computer science, electrical engineering, robotics, statistics, mathematics, or a related field. PhD is a plus. 

• Domain Expertise:   

• 2+ years in machine learning (in industry or academia) with published research papers and proven expertise 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 

• Research Ambition: A passion for pushing the boundaries of artificial intelligence and a commitment to publishing in top-tier conferences and journals  

• Interpersonal Skills: Excellent problem-solving, communication and interpersonal skills 

• Passion for Gaming: An interest in gaming and exploring the intersection of machine learning and game technology is desirable.