Senior Machine Learning Engineer, PlayStation

• 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
• 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

Desirable

• 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
• Further, you will be immersed in groundbreaking ML technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives
• 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