Electronic Arts

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Join the Battlefield Long Range Technology team at Electronic Arts, where we are dedicated to pushing the boundaries of gaming technology. As a Machine Learning Engineer with Battlefield Studios, you'll play a pivotal role in revolutionizing the gaming experience. Your expertise in both traditional established data science models and cutting-edge machine learning techniques will be crucial in implementing ML components that directly enable key game features. Additionally, you will utilize GenAI technology to significantly boost game development efficiency, ensuring our players enjoy unparalleled gaming experiences. If you're passionate about merging technology with creativity, we invite you to be part of our journey to redefine the future of gaming.

Responsibilities:

● Research, design and implement data science and machine learning solutions to solve challenging problems from our game development lifecycle.

● Apply established data science and machine learning modeling techniques to Battlefield features and live services.

● Scope and adopt new and emerging techniques in deep learning and generative AI to improve existing tools and workflows, as well as player-facing features.

● Prepare and manage datasets needed for AI and Machine Learning R&D work.

● Work in partnership with other EA game teams, centralized research teams, and centralized platform teams to integrate AI solutions into Battlefield.

● Lead stakeholder engagement, manage communication, and facilitate cross-team collaboration.

● Document and present findings and solutions to non-technical audiences, and technical audiences that are not ML/AI experts.

Required qualifications and skillsets:

● Bachelor or Master (Preferred) Degree in Data Science, Computer Science, Machine Learning, Engineering, or related field.

● Minimum 3+ years of experience as Data Scientist, Machine Learning Engineer, AI Engineer, Applied Scientist, or equivalent.

● Hands-on expertise in building deep learning solutions with popular ML frameworks (Scikit-learn, MLflow, Tensorflow, Pytorch, etc.).

● Hands-on experience in building DS/ML/AI solutions for game features, such as matchmaking system, recommendation system, anti-cheat, fraudulent detection, content moderation, auto-balancing, game bots, etc.

● Experience with development around LLM-based GenAI technologies.

● Experience with ML/AI development using AWS, Azure, or GCP products and services.

● Experience with handling docker containers, Kubernetes, etc.

● Experience with CI/CD pipelines.

● Experience or basic knowledge of API development for LLM solutions.

● Experience or basic knowledge of game engines and ML model deployment into game engines.