Machine Learning Engineer II

6 days ago

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Sony Interactive Entertainment

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For all of the latest PlayStation related news, career openings, and updates, please visit PlayStation on LinkedIn at https://www.linkedin.com/company/playstation-sony/ About Sony Interactive Entertainment Recognized as a global leader in interactive and digital entertainment, Sony Interactive Entertainment (SIE) is responsible for the PlayStation® brand and family of products and services$1. .$1

10,000+

Description

• Do you want to join a Machine Learning team committed to enhancing the PlayStation experience for hundreds of millions of users and creators? • The work we do delivers impactful insights to build an increasingly dynamic and interactive experience! • The Machine Learning Engineers within the platform engineering group will deliver optimized interactions across PlayStation experiences and systems by designing, coding, training, documenting, cost-effectively deploying and evaluating very large-scale machine learning and AI systems. • We are looking for someone who can build delightful products and experiences for millions, in an agile environment, collaborating with teams across Engineering and Product. • Further, you will be immersed in groundbreaking ML/AI technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives.

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 • Excellent problem-solving skills and comfortable with ambiguity in projects • Expertise in a variety of machine learning algorithms, such as supervised and unsupervised learning, reinforcement learning, NLP, and computer vision • Hands-on experience with applying Generative AI technology to solve business problem • Experience with software engineering principles, big data stacks such as spark, and use of cloud services like AWS, or GCP for machine learning development and deployment • Effective communication to convey ML concepts to non-tech stakeholders