Staff Machine Learning Engineer, Anomaly Detection (London)
Staff Machine Learning Engineer, Anomaly Detection (London)

Staff Machine Learning Engineer, Anomaly Detection (London)

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the development of innovative anomaly detection algorithms for gaming QA processes.
  • Company: Join PlayStation, a global leader in entertainment and gaming innovation.
  • Benefits: Enjoy a diverse workplace, opportunities for mentorship, and a chance to shape the future of gaming.
  • Why this job: Be at the forefront of technology, making gaming experiences better for players worldwide.
  • Qualifications: Master's degree in a relevant field; 6+ years in anomaly detection or machine learning required.
  • Other info: Inclusive culture that values diversity and encourages continuous learning.

The predicted salary is between 43200 - 72000 £ per year.

Staff Machine Learning Engineer, Anomaly Detection

United Kingdom, London

Why PlayStation?

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 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.

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, Anomaly Detection (London) employer: Sony Interactive Entertainment

At PlayStation, we pride ourselves on being a leader in the gaming industry while fostering an inclusive and innovative work culture. As a Staff Machine Learning Engineer in Anomaly Detection based in London, you will have the opportunity to work at the cutting edge of technology, contribute to groundbreaking research, and mentor junior team members in a collaborative environment that values diversity and continuous learning. With a commitment to employee growth and a passion for gaming, PlayStation is not just a workplace; it's a community where your contributions can shape the future of entertainment.
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Contact Detail:

Sony Interactive Entertainment 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 able to discuss recent research or breakthroughs during your interview can demonstrate your passion and expertise in the field.

✨Tip Number 2

Showcase your problem-solving skills by preparing examples of past projects where you successfully implemented machine learning algorithms. Be ready to explain your thought process and the impact of your work on the project outcomes.

✨Tip Number 3

Network with professionals in the gaming and machine learning communities. Attend relevant conferences or meetups to connect with potential colleagues and learn more about the company culture at PlayStation.

✨Tip Number 4

Prepare to discuss how you would approach integrating anomaly detection technologies into existing QA processes. Having a clear strategy will show your understanding of the role and your ability to contribute effectively from day one.

We think you need these skills to ace Staff Machine Learning Engineer, Anomaly Detection (London)

Anomaly Detection Algorithms
Machine Learning Frameworks (Python, NumPy, TensorFlow, PyTorch)
Data Analysis and Preprocessing
Statistical Modelling
Signal Processing
Video Processing
Game Streaming Technologies
Research and Innovation
Prototyping
Communication Skills
Mentorship and Team Leadership
Collaboration with Cross-Functional Teams
Problem-Solving Skills
Passion for Gaming
Continuous Learning

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and anomaly detection. Emphasise your technical skills with frameworks like Python, TensorFlow, or PyTorch, and include any specific projects that demonstrate your expertise.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for gaming and your understanding of the role. Mention how your background aligns with PlayStation's mission to enhance player experiences through innovative technology.

Showcase Your Research Experience: If you have authored research papers or presented at conferences, be sure to include this in your application. Highlighting your contributions to the field of anomaly detection will set you apart from other candidates.

Prepare for Technical Questions: Anticipate technical questions related to anomaly detection and machine learning during the interview process. Brush up on your problem-solving skills and be ready to discuss your approach to data analysis and algorithm development.

How to prepare for a job interview at Sony Interactive Entertainment

✨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 details behind your work.

✨Demonstrate Problem-Solving Skills

During the interview, present examples of complex problems you've solved in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your responses, focusing on how your analytical skills led to successful outcomes.

✨Communicate Effectively

Practice explaining complex technical concepts in simple terms. Since you'll need to communicate findings to both technical and non-technical stakeholders, being able to adapt your communication style is crucial.

✨Express Your Passion for Gaming

Make sure to convey your enthusiasm for gaming and how it drives your work in machine learning. Share any personal projects or experiences that reflect your interest in improving player experiences through technology.

Staff Machine Learning Engineer, Anomaly Detection (London)
Sony Interactive Entertainment
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