Description
Electronic Arts creează experiențe de divertisment de următorul nivel, care inspiră jucătorii și fanii din întreaga lume. Aici, toată lumea face parte din poveste. Face parte dintr-o comunitate care stabilește legături în întreaga lume. Un loc în care creativitatea prosperă, sunt încurajate noi perspective, iar ideile sunt importante.
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. As a key member of our multidisciplinary team, you will act as the bridge between technical engineering and strategic business objectives, ensuring robust software integration for our machine learning initiatives. The ideal candidate thrives in a dynamic environment, balancing applied technical execution with cross-team collaboration.
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.