Machine Learning Engineer - EA SPORTS™ FC

Reporting to the Senior Data Science Manager, the full-stack Machine Learning Engineer will operationalise, deploy, and scale high-impact machine learning solutions and end-to-end pipelines that power personalised, in-game experiences. The role sits within a multidisciplinary team and acts as the bridge between technical engineering and strategic business objectives, ensuring robust software integration for machine learning initiatives. The ideal candidate thrives in a dynamic environment, balancing applied technical execution with cross-team collaboration.

• 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 such as gaming consoles and PC, optimised for specific platform constraints.
• Execute large language model deployment and optimisation 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 the latest machine learning advancements and prototype new application opportunities within the FC franchise.
• Implement resilient data architectures.
• Maintain scalable infrastructure.
• Collaborate with stakeholders to translate requirements into high-performance, production-ready systems.

• Bachelor of Science in Computer Science, Mathematics, or a related field, or equivalent professional engineering experience.
• Experience with large language model deployment, fine-tuning, and retrieval-augmented generation techniques.
• Strong computer programming fundamentals with proficiency in Python and C++ or Java.
• Hands-on experience with Databricks, Trino, and Apache Airflow to manage production data and model workflows.
• Proven record of building, deploying, and maintaining machine learning applications within productised software.
• Experience deploying models on edge devices across the entire machine learning lifecycle.
• Ability to thrive in a dynamic environment, balancing applied technical execution with cross-team collaboration.

• Vacation: 3 weeks per year to start.
• 10 days per year of paid sick time.
• Company top-up to EI/QPIP benefits up to 100% of base salary when welcoming a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave).
• Extended health, dental, and vision coverage.
• Life insurance.
• Disability insurance.
• Retirement benefits to regular full-time employees.
• Certain roles may also be eligible for bonus and long-term cash programs.

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. EA SPORTS FC is one of the largest sports entertainment platforms in the world and is redefining football with genre-leading interactive experiences, connecting a global community of fans to The World's Game through innovation and unrivalled authenticity.