Engineering Manager, Machine Learning

The Engineering Manager, Machine Learning position at PlayStation Global involves leading a team dedicated to developing advanced decision systems that influence monetization strategies across the PlayStation ecosystem. This role is integral to building systems that manage a global catalog of games, focusing on pricing strategies throughout a game's lifecycle while balancing revenue growth, player experience, and title cannibalization.

Key responsibilities include leading and expanding a team of machine learning engineers and optimization specialists, fostering cross-disciplinary collaboration, and enhancing large-scale optimization systems. The role also involves incorporating predictive signals from machine learning models, utilizing optimization frameworks like Gurobi, and ensuring systems are explainable and actionable for business and product stakeholders.

Candidates should possess a deep understanding of machine learning and operational research domains, with a proven track record of delivering complex systems into production. Experience in leading high-performing teams, providing technical direction at the architectural level, and excellent communication skills are essential. A Master's or PhD in Computer Science, Machine Learning, or Operational Research is required.

Preferred qualifications include hands-on experience with tools such as Gurobi, Snowflake, Databricks, and PySpark, as well as experience in pricing, promotions, marketplace optimization, demand elasticity modeling, and forecasting. Experience in the gaming or digital content industry and working with globally distributed teams is also advantageous.