Hybrid Senior ML Efficiency Software Engineer - Tiburon presso Electronic Arts

EA SPORTS is one of the leading sports entertainment brands in the world, with top-selling videogame franchises, award-winning interactive technology, fan programs, and cross-platform digital experiences. EA SPORTS creates connected experiences that ignite the emotion of sport through industry-leading sports video games, including Madden NFL football, EA Sports FC soccer, NHL® hockey, and EA SPORTS UFC.Reporting to the Head of Engineering, as a member of the Tiburon AI Advanced Team you will focus on exploration and implementation of applied ML to developer and content creator workflows for all of Tiburon’s titles. You will work closely with the Sports Head of Machine Learning, the Sports Head of Tech Art, the Studio Technical Art Director and Studio Head of Engineering to share learnings and find novel applications of ML to benefit EA’s American Football Simulation titles.ResponsibilitiesStay up to date on current developments in ML and Gen AIRepresent the studio in conversations about ML technical priorities with internal applied research teams and Sports technical leadershipYou will provide strategy, visibility, and prioritization to drive ubiquitous usage of ML across our American Football titlesWork across Sports and the Frostbite team to align on shared technology stacksPartner closely with game team technical and production leadership to ensure game team perspectives are considered in your strategyIdentify bottlenecks and AI based methods for solving problems that traditional methods cannotPrototype and write technical designs for AI based improvements to developer and content creator workflowsProactively share knowledge across the studio and the Sports organizationProvide positive, consistent, thoughtful, and reassuring leadership through all aspects of change management within a fast-paced, global, agile software development environment.Qualifications10+ yr of experience in the development of game engines and/or AAA game development.5+ years of applied ML development in a gaming or simulation environment5+ years of hands on experience with Frostbite and/or other AAA game enginesProven track record of navigating complex development environments and working closely with stakeholders to guide architectural decisions.Strong proficiency in Python and ML frameworks such as Transformers, TensorFlow, PyTorch.Proven leadership ability to mentor and guide multiple engineers while driving project success.Bonus Shipped multiple ML based features in AAA game titlesStrong presentation skills and experience speaking in front of executive leadership Candidarsi ora