Game Development & Machine Learning Intern: SF - Summer 2025

Discovery… the stuff dreams are made of.

Who We Are… When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

At Warner Bros. Games San Francisco we are bringing to life some of the world's most iconic characters, stories, and universes. Come help us build a world-class studio and take leading entertainment franchises to 1.2 billion mobile gamers. We are committed to creating fun and engaging games for our fans and are positioning ourselves to be a top player in mobile.

Your New Role

This internship will be located in the San Francisco area. The selected intern will be expected to join us in the office on a regular cadence based on the intern manager's in office schedule.

We are looking for a motivated Game Development & Machine Learning Intern to join our Central Games Team. In this role, you will work at the intersection of video games and machine learning (ML), helping to build innovative prototypes and tools that advance both the gaming experience and AI-driven gameplay systems. You'll be working closely with the Principal Engineer in our Research and Development space, using Unreal Engine, and PyTorch to create new gameplay mechanics, AI models, and systems. If you are passionate about game development and eager to apply machine learning in the gaming context, this is an exciting opportunity to build skills in both fields.

Your Role Accountabilities

• Collaborate with the Principal Engineer and other team members to design, prototype, and test machine learning-driven gameplay systems in Unreal Engine and Unity.
• Develop machine learning models using PyTorch, integrating them into game engines to enhance game testing, AI, dynamic content generation, or adaptive gameplay.
• Write and maintain code in C++, C#, and Python for both game development and machine learning tasks, ensuring high-quality, scalable solutions.
• Test and iterate on the integration of machine learning techniques into live game environments, ensuring performance, stability, and player experience.
• Troubleshoot issues in code, ML models, or game systems and propose solutions to resolve them.
• Research the latest trends in AI and ML technologies, applying cutting-edge techniques to enhance game development processes.
• Document your code and processes to ensure knowledge sharing and maintainability.
• Participate in team meetings, contributing ideas and feedback on ongoing and future projects.

Qualifications & Experience

• Currently pursuing a Masters degree in Computer Science, Game Development, Artificial Intelligence, or a related field.
• Proficiency in at least one of the following programming languages: C++, C#, Python.
• Basic understanding of Unreal Engine or Unity game engines and their development pipelines.
• A foundational knowledge of machine learning concepts and hands-on experience with PyTorch or similar ML frameworks.
• Passion for gaming and eagerness to explore the integration of ML technologies in game development.
• Strong analytical and problem-solving skills, with a creative approach to overcoming technical challenges.
• Ability to work both independently and collaboratively in a fast-paced, team-oriented environment.
• Strong communication skills, with the ability to document and explain technical concepts clearly.

Nice-to-Haves

• Experience with integrating machine learning models into game engines (e.g., Unity, Unreal Engine).
• Exposure to AI/ML algorithms (e.g., reinforcement learning, neural networks, or generative models).
• Familiarity with version control systems like Git.
• Knowledge of performance optimization and real-time game system development.
• Previous personal or academic projects involving game AI, ML, or game engine programming.