Senior Machine Learning Engineer

Join to apply for the Senior Machine Learning Engineer role at Sony Interactive Entertainment

Join to apply for the Senior Machine Learning Engineer role at Sony Interactive Entertainment

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.

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 Group Corporation.

Senior Machine Learning Engineer

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:

• Lead junior engineers, 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.
• Collaborate with technical and non-technical stakeholders to seed new projects or expand existing ones, using a broad spectrum of state-of-the-art machine learning and deep learning technologies, in the areas of Recommendation Systems and Search.
• Create metrics and design A/B test plans to evaluate model performance offline and online.
• Collaborate with cross-functional teams of software engineers, QA engineers, data engineers, and product managers in gathering product requirements, architecture design, and code reviews.
• Produce insights from a large amount of dynamic structured and unstructured data (text, audio) using modern big data technologies.
• Produce reusable code according to standard methodologies in Python, conduct rigorous testing and validation to ensure accuracy, efficiency, and scalability.
• Thought-lead and influence technology strategy and product roadmap through ML/AI lens, contributing into the development and execution of overall ML/AI strategy.
  
  

• 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.
• Proven track record of successfully delivering large-scale commercial machine learning products from conception to production.
• Experience with Python, and ideally also Scala or Java, proficient with ML frameworks such as Tensorflow, PyTorch, MLlib.
• Experience in developing a variety of ML models using structured and unstructured data.
• Industry experience in A/B testing.
• Strong communication skills, both verbal and written, with the ability to convey complex technical concepts to stakeholders with limited knowledge of ML/AI.
• Experience with software engineering principles, modern ML tech stacks, and use of Databricks, Snowflake, Tecton, and cloud services like AWS for machine learning development and deployment.
• Excellent problem-solving skills, with the ability to navigate through ambiguity to drive results.
  
  

• Experience in developing personalized search systems.
• Experience with LLM applied in search or recommendation systems.
• Experience in standard methodologies in large-scale DL training/Inference.
• Experience in cloud-based environments, such as AWS.
• Experience working with custom ML platforms.
• Experience working on critical and consumer-facing ML applications.
• Proactive self-starter with experience working in fast-paced environments.
  
  

• Seniority levelNot Applicable

• Employment typeFull-time

• Job functionEngineering and Information Technology
• IndustriesSoftware Development, Consumer Services, and Entertainment Providers

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