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- 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 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 with 6+ years of experience in anomaly detection.
- Other info: Opportunity to mentor junior team members and present research 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.
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.
Benefits:
- Discretionary bonus opportunity
- Hybrid Working (within Flexmodes)
- Private Medical Insurance
- Dental Scheme
- 25 days holiday per year
- On Site Gym
- Subsidised Café
- Free soft drinks
- On site bar
- 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.
Staff Machine Learning Engineer, Anomaly Detection (London) employer: Sony Playstation
Contact Detail:
Sony Playstation 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 demonstrate your passion for the field during discussions.
✨Tip Number 2
Engage with the gaming community and participate in relevant forums or conferences. Networking with professionals in the industry can provide valuable insights and may even lead to referrals, increasing your chances of landing the job.
✨Tip Number 3
Showcase your problem-solving skills by preparing examples of past projects where you successfully implemented machine learning algorithms. Be ready to discuss these experiences in detail, as they can set you apart from other candidates.
✨Tip Number 4
Highlight your collaborative mindset by sharing experiences where you worked effectively in cross-functional teams. This is crucial for the role, as collaboration is key to integrating detection technologies into production environments.
We think you need these skills to ace Staff Machine Learning Engineer, Anomaly Detection (London)
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description for the Staff Machine Learning Engineer position. Make sure you understand the key responsibilities, required skills, and the company's mission to ensure your application aligns with their expectations.
Tailor Your CV: Customise your CV to highlight relevant experience in anomaly detection, machine learning, and any specific technologies mentioned, such as Python or TensorFlow. Use keywords from the job description to make your application stand out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for gaming and your expertise in anomaly detection. Mention specific projects or achievements that demonstrate your problem-solving skills and ability to work collaboratively in a team.
Showcase Continuous Learning: In your application, emphasise your commitment to staying updated with the latest research in machine learning and anomaly detection. Mention any relevant courses, certifications, or conferences you've attended to demonstrate your dedication to professional growth.
How to prepare for a job interview at Sony Playstation
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with anomaly detection and machine learning frameworks like Python, TensorFlow, or PyTorch. Highlight specific projects where you've designed or implemented algorithms, as this will demonstrate your hands-on skills.
✨Communicate Complex Ideas Simply
Since you'll need to present findings to both technical and non-technical audiences, practice explaining complex concepts in a straightforward manner. Use analogies or simple examples to make your points clear.
✨Demonstrate Your Passion for Gaming
Express your enthusiasm for gaming and how it drives your work. Share any personal projects or experiences that relate to gaming technology, as this will resonate well with the interviewers at PlayStation.
✨Prepare for Collaborative Scenarios
Expect questions about teamwork and collaboration. Think of examples where you've worked with cross-functional teams, mentored others, or contributed to a culture of innovation. This will show that you can thrive in their inclusive environment.
