At a Glance
- Tasks: Design and implement innovative machine learning models for game development.
- Company: Join PlayStation, a global leader in entertainment and gaming innovation.
- Benefits: Enjoy a collaborative environment, continuous learning, and opportunities to attend top-tier conferences.
- Why this job: Be at the forefront of AI technology in gaming, contributing to exciting research and development.
- Qualifications: Master’s degree in a relevant field; 2+ years in machine learning with published research.
- Other info: Inclusive culture that values diversity and encourages creativity.
The predicted salary is between 43200 - 72000 £ per year.
PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognised 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.
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.
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 New United Kingdom, London employer: PlayStation
Contact Detail:
PlayStation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer New United Kingdom, London
✨Tip Number 1
Familiarise yourself with the latest advancements in Imitation Learning and Reinforcement Learning. Follow key researchers and publications in the field to stay updated, as this knowledge will be crucial during interviews and discussions.
✨Tip Number 2
Engage with the gaming community and participate in relevant forums or groups. This will not only enhance your understanding of the intersection between machine learning and gaming but also help you network with professionals who might provide insights or referrals.
✨Tip Number 3
Prepare to discuss your previous projects in detail, especially those related to machine learning. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this demonstrates your problem-solving skills and technical expertise.
✨Tip Number 4
Practice presenting complex technical concepts in a simple manner. Since you'll need to communicate findings to both technical and non-technical colleagues, honing this skill will make you stand out during the interview process.
We think you need these skills to ace Machine Learning Engineer New United Kingdom, London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, particularly in Imitation Learning and Reinforcement Learning. Include specific projects or research that demonstrate your expertise and passion for the field.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for gaming and technology. Explain why you want to work at PlayStation and how your skills align with their mission of innovation and creativity in game development.
Showcase Your Research: If you have published research papers, mention them in your application. Highlight any contributions to top-tier conferences and how they relate to the role. This will demonstrate your commitment to advancing the field of machine learning.
Prepare for Technical Questions: Be ready to discuss your technical skills and problem-solving abilities during the interview process. Brush up on key concepts in machine learning, data analysis, and programming languages like Python, NumPy, and Pytorch.
How to prepare for a job interview at PlayStation
✨Showcase Your Passion for Gaming
Make sure to express your enthusiasm for gaming during the interview. Discuss how your interest in gaming intersects with your expertise in machine learning, and share any personal projects or experiences that highlight this passion.
✨Demonstrate Your Technical Skills
Be prepared to discuss your experience with programming languages and frameworks relevant to machine learning, such as Python, NumPy, and PyTorch. You might be asked to solve technical problems on the spot, so brush up on your coding skills and be ready to showcase your knowledge.
✨Prepare for Research Discussions
Since the role involves contributing to research papers and presenting at conferences, be ready to talk about your previous research work. Highlight any published papers, your contributions, and how they relate to Imitation Learning and Reinforcement Learning.
✨Emphasise Collaboration and Communication
This position requires working with cross-functional teams, so demonstrate your interpersonal skills. Share examples of how you've successfully collaborated with others in the past and how you can communicate complex technical issues to both technical and non-technical colleagues.