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- Tasks: Lead research and develop algorithms to detect bugs in game streams.
- Company: Join PlayStation, a global leader in entertainment and gaming innovation.
- Benefits: Enjoy hybrid working, private medical insurance, and 25 days holiday.
- Why this job: Shape the future of gaming while collaborating with diverse teams.
- Qualifications: Master's degree in a relevant field; 6+ years in anomaly detection or machine learning.
- Other info: Passion for gaming is essential; inclusive environment guaranteed.
The predicted salary is between 43200 - 72000 £ per year.
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. We are on a mission to revolutionize our QA processes by developing cutting-edge technologies that automatically detect bugs and glitches in game streams. As a Staff Machine Learning Engineer in Anomaly Detection, you will be the technical lead in a research team focused on advancing our anomaly detection technology, driving technical excellence and innovation. The team will design, implement, and optimize advanced algorithms and machine learning models to detect anomalies in game streams. Your expertise will help shape the future of gaming by ensuring high-quality player experiences. Design, develop, and implement novel anomaly detection algorithms to automatically identify bugs and glitches in game streams. Research and Innovation: Lead research initiatives in anomaly detection, contributing to the authorship of research papers and presenting at relevant conferences. Data Analysis: Perform extensive data analysis and preprocessing to uncover patterns and improve detection accuracy. Collaboration: Work with cross-functional teams to integrate detection technologies into production environments, ensuring scalability and performance. Continuous Learning: Stay current with the latest research in anomaly detection, machine learning, and artificial intelligence, disseminating knowledge across the team. Quickly prototype new ideas and technologies to evaluate their relevance and performance. Master\’s degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field. A PhD is a plus. Principal Engineer: 6+ years of experience in anomaly detection, machine learning, or related technical fields. Prior experience in anomaly detection applied to areas such as QA, gameplay analysis, computer vision or video stream analysis. Proven experience with machine learning frameworks such as Python, NumPy, TensorFlow, or PyTorch. Strong understanding of data analysis, signal processing, and statistical modeling. Experience with video processing and understanding of game streaming technologies is a plus. Passion for Gaming: An interest in gaming and improving the quality of player experiences. Discretionary bonus opportunity ~ Hybrid Working (within Flexmodes) ~ Private Medical Insurance ~ Dental Scheme ~25 days holiday per year ~ On Site Gym ~ 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.
Staff ML Engineer employer: Sony Playstation
Contact Detail:
Sony Playstation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff ML Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in anomaly detection and machine learning. Follow relevant research papers and attend conferences to stay updated, as this will not only enhance your knowledge but also demonstrate your passion for the field during interviews.
✨Tip Number 2
Engage with the gaming community and participate in discussions about quality assurance and game streaming technologies. This will help you understand current challenges and trends, making you a more attractive candidate who can contribute valuable insights.
✨Tip Number 3
Showcase your practical experience by working on personal projects or contributing to open-source initiatives related to anomaly detection or machine learning. This hands-on experience can set you apart from other candidates and provide concrete examples to discuss in interviews.
✨Tip Number 4
Network with professionals in the gaming and tech industries through platforms like LinkedIn. Building connections can lead to referrals and insider information about the role, increasing your chances of landing an interview with us at StudySmarter.
We think you need these skills to ace Staff ML Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, anomaly detection, and any specific technologies mentioned in the job description. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for gaming and technology. Discuss how your background aligns with the role and mention any relevant projects or research you've undertaken in anomaly detection or machine learning.
Showcase Your Technical Skills: In your application, emphasise your proficiency with machine learning frameworks like Python, TensorFlow, or PyTorch. Provide examples of how you've applied these skills in previous roles or projects, particularly in relation to game streaming or QA processes.
Highlight Collaborative Experience: Since the role involves working with cross-functional teams, include examples of past collaborations. Describe how you contributed to team projects, especially those that required integrating new technologies or improving processes.
How to prepare for a job interview at Sony Playstation
✨Show Your Passion for Gaming
Make sure to express your enthusiasm for gaming during the interview. Discuss your favourite games and how they inspire your work in machine learning and anomaly detection. This will demonstrate that you not only have the technical skills but also a genuine interest in enhancing player experiences.
✨Highlight Relevant Experience
Be prepared to discuss your previous work in anomaly detection, machine learning, or related fields. Share specific examples of projects where you've successfully implemented algorithms or models, especially those related to QA or gameplay analysis. This will showcase your expertise and relevance to the role.
✨Stay Current with Research
Familiarise yourself with the latest advancements in anomaly detection and machine learning. Mention any recent papers or conferences you've attended or followed. This shows that you're committed to continuous learning and innovation, which is crucial for a role focused on cutting-edge technology.
✨Prepare for Technical Questions
Expect to face technical questions related to machine learning frameworks like Python, TensorFlow, or PyTorch. Brush up on your knowledge of data analysis, signal processing, and statistical modelling. Being able to confidently answer these questions will demonstrate your technical proficiency and readiness for the role.
