Principal Research Scientist, Gameplay AI - Tech Research Data Riot Operations & Support Los

Principal Research Scientist, Gameplay AI - Tech Research

Research Scientists at Riot combine deep technical expertise across machine learning, artificial intelligence (AI), experimental design, and systems engineering to invent new ways players experience games. As a Principal Research Scientist, you operate at the frontier of what’s possible and set the standard for how research is conducted and how it translates into extraordinary gameplay.

As a Principal Research Scientist in Tech Research, you will lead a small, cross‑functional team focused on building AI‑powered gameplay prototypes. These prototypes are not paper exercises; instead they are playable, opinionated explorations of new game mechanics, agent behaviors, and player experiences enabled by modern AI. You will identify promising research directions, translate them into concrete gameplay experiments, and drive them from early concept through working prototypes that influence game teams.

You are the technical and creative lead on complex, ambiguous problems requiring strong judgment, rapid iteration, and an ability to balance research rigor with hands‑on building. You set the vision and quality bar, leading by example in code, shaping robust systems, and mentoring team members.

• Define and lead AI‑powered gameplay research directions, translating emerging ML/AI capabilities into concrete, playable game prototypes
• Build, lead, and mentor a small cross‑functional team, setting technical direction while remaining deeply hands‑on
• Own research and prototyping roadmaps, milestones, and risk management for multi‑quarter initiatives
• Work closely with game teams to understand player goals and design constraints, ensuring prototypes are grounded in real gameplay needs
• Rapidly iterate on prototypes, balancing research rigor with playability, performance, and developer usability
• Stay current with academic and industry advances in AI for games, reinforcement learning, generative models, and agent systems
• Communicate vision, progress, and learnings clearly to stakeholders, helping teams understand both what works and what doesn’t

• MS in Computer Science or equivalent with 6+ years research experience or BS in Computer Science or equivalent with 8+ years research experience
• Strong background in applied or foundational research, with experience leading projects through hypothesis‑driven experimentation
• 2+ years of experience in machine learning for sequential decision‑making, agents, or complex systems (e.g., RL, imitation learning, planning, or hybrid approaches)
• Proficiency in C, C++, or Python
• Demonstrated contributions to public research (e.g., publications, talks, open‑source projects)
• Experience designing and implementing complex systems that integrate ML with real‑time or interactive environments
• Expertise with PyTorch or Tensor Flow
• Experience working in commercial game engines for prototyping or production
• Strong understanding of gameplay systems, game loops, and real‑time constraints
• Experience collaborating closely with designers and engineers in a game development context

For this role, you'll find success through craft expertise, a collaborative spirit, and decision‑making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games.

Riot focuses on work/life balance, shown by open paid time off, flexible schedules, medical, dental, and life insurance, parental leave, a 401(k) with company match. Check out our benefits pages for more information.

Our focus on players drives our mission. We create collaborative teams where each can bring unique perspectives. If that sounds like the kind of place you want to work, we look forward to your application.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history,…