Staff Machine Learning Engineer, Anomaly DetectionUnited 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.
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