Electronic Arts

EA SPORTS revolutionizes the world of gaming by creating transformational changes in how games are made and played.. At EA SPORTS, everyone contributes to creating the future of entertainment, building a community where creativity and new ideas excel.

The EA SPORTS Catalyst Research and Innovation Team is dedicated to pioneering research that propels the gaming industry forward. We aim to redefine the gaming experience by integrating technologies and exploring new paradigms in game development. We focus on forward-looking experimentation and harness the latest technology to uncover what makes games fun for humans.

As the Lead Machine Learning Scientist, reporting to the Head of Research and Innovation, you will lead the research strategy for our product roadmap. You will create our team's strategy by combining the latest research inside and outside of EA and applying it to video games. Your mission is to discover new technologies and interactive experiences to redefine gameplay. You will identify research targets, define and lead the team's experimentation plan, implement and demonstrate new models, and contribute to a strategy that brings the future of gaming to life at EA Sports.

Your Responsibilities:

• Lead the ML research strategy to create new player experiences, exploring frontier technologies to shape the future of Sports Gaming

• Work with the engineering team to support experiments with tooling and platforms, and data acquisition and management

• Help share results through presentations, papers, prototypes and compelling interactive demonstrations

• Stay up to date with the latest advancements in relevant technologies and propose impactful projects to lead innovation

• Collaborate with game teams to understand their design goals and build strategies to discover new engaging experiences

• Build and manage a team by encouraging an engaging, fulfilling and fun working environment

• Collaborate with a diverse range of partners, including research, engineering, and game development teams

Your Qualifications:

• PhD in Computer Science, mathematics or related field, or equivalent research experience

• 5+ years of experience with machine learning and familiarity with multiple ML techniques such as transformer models and diffusion models

• Technical background, experience working with both research and engineering, and experience with delivery

• 3+ years of experience leading a team of advanced scientists

• Expertise turning new ideas into implementations