Description
Electronic Arts打造更高层次的娱乐体验，激励世界各地的玩家和粉丝。在这里，每个人都是故事的主角。活跃社群，畅联全球。这里充满创造力，鼓励新观点，注重好创意。这是一支人人都能让游戏成为现实的团队。
EA SPORTS™ is one of the most iconic brands in entertainment – connecting hundreds of millions around the world to the sports they love through a portfolio of industry-leading video games.
As one of the largest sports entertainment platforms in the world, EA SPORTS™ FC is redefining football with genre-leading interactive experiences, connecting a global community of fans to The World's Game through innovation and unrivaled authenticity.
With more opportunity than ever to design, innovate, and create new, immersive experiences that bring joy, inclusivity, and connection to fans everywhere, we invite you to join our passionate and dynamic team as we pioneer the future of football fandom.
Reporting to the Senior Data Science Manager, we are seeking a full-stack Machine Learning Engineer to operationalize, deploy, and scale high-impact machine learning solutions and end-to-end pipelines that power personalized, in-game experiences.
Your Responsibilities:
- Deploy and maintain end-to-end Machine Learning pipelines to ensure robust data delivery and optimal model performance.
- Deploy Machine Learning models directly on target devices like gaming consoles and PC, optimized for specific platform constraints.
- Execute Large Language Model deployment and optimization for generative content and immersive in-game systems.
- Share technical knowledge by engaging with game teams to develop and ship high-impact features.
- Promote Machine Learning best practices through presentations and interactive demonstrations to elevate the team's craft.
- Stay abreast of latest ML advancements and prototype new application opportunities within the FC franchise.
Your Qualifications:
- Possess a BS in Computer Science, Mathematics, or a related field, or equivalent professional engineering experience.
- Demonstrate experience with Large Language Model deployment, fine-tuning, and retrieval-augmented generation techniques.
- Exhibit strong computer programming fundamentals with proficiency in Python and C++ or Java.
- Apply hands-on experience with Databricks, Trino, and Apache Airflow to manage production data and model workflows.
- Provide a proven record of building, deploying, and maintaining Machine Learning applications within productized software.
- Maintain experience deploying models on edge devices across the entire Machine Learning lifecycle.
Electronic Arts 拥有全面的游戏组合和丰富的体验，在世界各地设有分支机构，而且在整个 EA 提供大量机会。我们非常重视适应能力、韧性、创造力和好奇心。我们提供领导岗位让您发挥潜力，为学习和尝试提供空间，赋能您出色地完成工作并寻求成长的机会。
我们对福利计划采用整体方法，强调身体、情感、财务、职业和社区健康，以支持平衡的生活。