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- 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 with 6+ years in machine learning required.
- Other info: Contribute to an inclusive culture while collaborating globally across time zones.
The predicted salary is between 48000 - 84000 £ per year.
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 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.
What you’ll do:
- 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.
What we’re looking for:
- 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!
Benefits:
- Discretionary bonus opportunity
- Hybrid Working (within Flexmodes)
- Private Medical Insurance
- 25 days holiday per year
- On Site Gym
- Free soft drinks
- 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.
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Staff Machine Learning Engineer employer: Tbwa Chiat/Day Inc
Contact Detail:
Tbwa Chiat/Day Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff 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
Prepare to discuss your experience with collaborative projects. Highlight instances where you've worked with cross-functional teams, as this role emphasizes collaboration with other SIE teams to deploy machine learning models.
✨Tip Number 4
Consider attending relevant conferences or workshops to network with industry professionals. This not only helps you stay informed but also provides opportunities to connect with potential colleagues at PlayStation.
We think you need these skills to ace Staff 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 papers that demonstrate your expertise.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for gaming and technology. Discuss how your background aligns with the role and mention any relevant experiences that showcase your problem-solving skills and ability to work in a collaborative environment.
Showcase Your Research: If you have published research papers, be sure to include them in your application. Highlight any presentations at conferences and how they relate to the position you are applying for.
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, so provide examples of how you've done this in the past.
How to prepare for a job interview at Tbwa Chiat/Day Inc
✨Show Your Passion for Gaming and AI
Make sure to express your enthusiasm for both gaming and artificial intelligence during the interview. Share specific examples of how you've combined these interests in your previous work or projects, as this aligns with the company's focus on innovative gaming experiences.
✨Demonstrate Technical Expertise
Be prepared to discuss your experience with machine learning techniques, particularly Imitation Learning and Reinforcement Learning. Highlight any published research papers and be ready to explain complex concepts in a way that is accessible to non-technical stakeholders.
✨Emphasize Collaboration Skills
Since the role involves working in a highly collaborative environment, share examples of how you've successfully worked with cross-functional teams. Discuss your approach to mentoring junior team members and fostering an inclusive atmosphere.
✨Stay Current with Industry Trends
Show that you are proactive about staying updated with the latest advancements in machine learning and AI. Mention any recent conferences you've attended or relevant research you've followed, demonstrating your commitment to continuous learning and innovation.
