Machine Learning Engineer for Enhanced Gaming Experience

3 days ago


London, Greater London, United Kingdom Sony Playstation Full time

PlayStation is seeking a talented Machine Learning Engineer to join its team in London, UK. As a key member of the platform engineering group, you will design, code, train, document, cost-effectively deploy and evaluate large-scale machine learning and AI systems to enhance the gaming experience for hundreds of millions of users and creators.

The ideal candidate will have a proven track record of successfully delivering large-scale commercial machine learning products from conception to production. You will be immersed in groundbreaking ML/AI technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives.

About the Role:
  • You will design, implement and deploy various machine learning and deep learning models and systems for high impact consumer and enterprise applications ranging from online safety detections, LLM-enabled agents, to Computer-vision-driven operation automation, decision optimization and more.
  • You will work with a broad spectrum of state-of-the-art machine learning and deep learning technologies, in the areas of Computer Vision (CV), Natural Language Processing (NLP), Reinforcement Learning, Time Series Forecasting, as well as Generative AI such as Large Language Models.

We offer an estimated salary range of £100,000 - £140,000 per year, depending on your level of experience. Additionally, we provide a comprehensive benefits package, including health insurance, retirement plans, and paid time off.

Requirements:
  • Advanced degree (Master's or Ph.D.) in Computer Science/Statistics/Data Science, specializing in machine learning or equivalent experience.
  • Strong programming skills in languages such as Python, Java, Scala, with proficiency in machine learning libraries and frameworks like TensorFlow, PyTorch, PySpark, etc.
  • Proven track record of successfully delivering large-scale commercial machine learning products from conception to production.


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