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Overview
Mid-Level

Machine Learning Engineer II, Search

Confirmed live in the last 24 hours

PlayStation

PlayStation

United States, San Mateo, CA
Hybrid
Posted April 3, 2026

Job Description

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 PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, 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 Group Corporation.

Mid-Senior Machine Learning Engineer, Search

San Mateo, CA

Do you want to join a Machine Learning team committed to personalizing the PlayStation experience for hundreds of millions of users? We deliver impactful ML models and systems that serve an increasingly dynamic and personal experience! The Machine Learning Engineers within the DTIS group will deliver optimized interactions across PlayStation experiences and systems by designing, coding, training, deploying, and evaluating very large-scale machine learning systems.

We are looking for someone who can build delightful products and experiences for millions, in an agile environment, collaborating with teams across Engineering, Product, and Business. Further, you will be immersed in groundbreaking ML technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives.

You Will:

  • Design and develop various machine learning and deep learning models and systems for high-impact consumer-facing applications such as search retrieval and ranking, content personalizations, and product recommendations.
  • Work with a broad spectrum of state-of-the-art machine learning and deep learning technologies in the areas of recommendation systems.
  • Create metrics and design A/B test plans to evaluate model performance offline and online to inform and convey our impacts to diverse groups of stakeholders.
  • Collaborate with cross-functional teams of technical members and non-technical members in architecture, design, and code implementations.
  • Analyze and produce insights from a large amount of dynamic structured and unstructured data using modern big data technologies.
  • Produce reusable code and conduct peer code reviews according to standard methodologies in Python.

You Bring:

  • Advanced degree (Master’s or Ph.D.) in CS/Statistics/Data Science, specializing in machine learning.
  • Industry work experience in designing and implementing large-scale search retrieval, ranking models
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