Riot Games

About the Company

Since 2006, Riot Games has stayed committed to changing the way video games are developed, published, and supported for players. From our first title, League of Legends, to 2020's VALORANT; we have strived to evolve the community with growth in Esports, and expansion from games into entertainment. Players are the foundation of Riot's community and because of them, we're able to reach new heights. Founded by Brandon Beck and Marc Merrill, Riot is headquartered in Los Angeles, California, and has 4,500+ Rioters in 20+ offices worldwide. Riot has been featured on numerous lists including Fortune's "100 Best Companies to Work For," "25 Best Companies to Work in Technology," "100 Best Workplaces for Millennials," and "50 Best Workplaces for Flexibility." Riot Games recruiters will never ask for money or request sensitive information, and they'll always reach out from an @riotgames.com email address. You can learn more about Riot's interview process here: https://www.riotgames.com/en/work-with-us/interviewing-at-riot/interview-process

Listed Jobs

Company Name

Riot Games

Job Title

Research Scientist Intern, Game AI - Summer 2026 (Remote)

Job Description

Job Title: Research Scientist Intern, Game AI – Summer 2026 (Remote) Role Summary: Assist a technology research team focused on generative AI to design, prototype and evaluate new tools and games that improve developer workflows and player experiences. Requires advanced machine‑learning knowledge, experimentation, and cross‑disciplinary collaboration with artists, designers, and engineers. Expectations: - Complete a 12‑week full‑time internship during the summer, graduating in 2027. - Produce prototypes and research deliverables that can be transitioned to production. - Communicate findings clearly to cross‑functional stakeholders. Key Responsibilities: 1. Partner with game teams, artists, designers and engineers to define research opportunities and prototype solutions. 2. Apply large language models, diffusion models and other state‑of‑the‑art generative techniques to game content creation and production pipelines. 3. Build, train and evaluate machine‑learning models, perform statistical analyses and optimization. 4. Design experimental studies (A/B testing, user research) to validate prototype impact on gameplay or production efficiency. 5. Document methods, results and provide recommendations for production implementation. Required Skills: - Proficiency in deep‑learning frameworks (TensorFlow, PyTorch). - Strong programming in Python; experience building ML models and data pipelines. - Knowledge of machine‑learning concepts and statistical modeling. - Comfortable working with version control (Git), Linux environments. - Good communication skills to present technical results to non‑technical stakeholders. Required Education & Certifications: - Current enrollment in an M.S. or Ph.D. program in statistics, computer science, engineering, artificial intelligence or a related quantitative field. - Expected graduation in 2027.

Los angeles, United states

On site

Fresher

25-11-2025