At a Glance
- Tasks: Lead the development of innovative anomaly detection algorithms for gaming.
- Company: Join PlayStation, a global leader in entertainment and gaming innovation.
- Benefits: Enjoy hybrid working, private medical insurance, 25 days holiday, and more perks.
- Why this job: Shape the future of gaming while fostering an inclusive and diverse work culture.
- Qualifications: Master's degree in a relevant field; 6+ years in anomaly detection or machine learning required.
- Other info: Opportunity to mentor junior team members and present at conferences.
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 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.
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 Principal Engineer specializing in Anomaly Detection to join our dynamic R&D team. We are on a mission to revolutionize our QA processes by developing cutting-edge technologies that automatically detect bugs and glitches in game streams. This is a unique opportunity to contribute to a global effort in making our QA processes more efficient and effective.
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.
What you’ll be doing:
- Anomaly Detection Development: 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.
- Mentorship: Mentor and guide junior team members, fostering a culture of innovation and continuous learning.
- Communication: Present findings to stakeholders, effectively communicating complex technical concepts to both technical and non-technical audiences.
- Continuous Learning: Stay current with the latest research in anomaly detection, machine learning, and artificial intelligence, disseminating knowledge across the team.
- Prototyping: Quickly prototype new ideas and technologies to evaluate their relevance and performance.
- Inclusive Culture: Promote an inclusive and diverse work environment where every team member feels valued, respected, and empowered.
What we’re looking for:
- Education: 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.
- Domain Expertise: 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.
- Problem-Solving Skills: Excellent analytical and problem-solving abilities.
- Communication Skills: Strong ability to communicate complex technical issues effectively.
- Interpersonal Skills: Excellent interpersonal skills with a collaborative mindset.
- Passion for Gaming: An interest in gaming and improving the quality of player experiences.
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.
Staff Machine Learning Engineer, Anomaly Detection (London) employer: PlayStation Network
Contact Detail:
PlayStation Network Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Machine Learning Engineer, Anomaly Detection (London)
✨Tip Number 1
Familiarise yourself with the latest advancements in anomaly detection and machine learning. Being well-versed in current trends and technologies will not only boost your confidence but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the gaming and tech industries, especially those involved in QA processes or machine learning. Attend relevant conferences or meetups to make connections that could lead to referrals or insider information about the role.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented anomaly detection algorithms. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will demonstrate your problem-solving skills.
✨Tip Number 4
Show your passion for gaming by staying updated on the latest PlayStation releases and innovations. This enthusiasm can set you apart from other candidates and show that you're genuinely interested in contributing to the company's mission.
We think you need these skills to ace Staff Machine Learning Engineer, Anomaly Detection (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and anomaly detection. Focus on specific projects or roles that demonstrate your expertise in these areas, especially those related to gaming or data analysis.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for gaming and technology. Explain why you want to work at PlayStation and how your skills align with their mission to enhance player experiences through innovative technology.
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 used these tools in past projects, particularly in anomaly detection or data analysis.
Prepare for Potential Questions: Anticipate questions related to your experience with anomaly detection and machine learning. Be ready to discuss specific algorithms you've developed or implemented, and how they improved processes in previous roles.
How to prepare for a job interview at PlayStation Network
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with machine learning frameworks like Python, TensorFlow, or PyTorch. Highlight specific projects where you've developed anomaly detection algorithms and be ready to explain the technical challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Skills
During the interview, expect to tackle hypothetical scenarios related to anomaly detection. Practice articulating your thought process clearly, showcasing your analytical skills and how you approach complex problems in a structured manner.
✨Communicate Effectively
Since you'll need to present findings to both technical and non-technical stakeholders, practice simplifying complex concepts. Use clear examples to demonstrate your ability to communicate effectively across different audiences.
✨Emphasise Collaboration and Mentorship
PlayStation values teamwork and mentorship. Be ready to share experiences where you've collaborated with cross-functional teams or mentored junior colleagues. This will show your commitment to fostering an inclusive and innovative work environment.