🛠 Tech Stack

💼 About This Role

You'll join the Technology Research team at Riot Games to research and develop world models that understand and predict game environments. Your core impact will be powering scalable simulation for agent training, game balancing, and synthetic data generation. You'll stay hands-on, turning advances in predictive simulation into concrete prototypes that game teams can evaluate and build on.

🎯 What You'll Do

• Propose and evaluate world models for game state and player behavior.
• Build predictive simulations for agent training and game balance testing.
• Develop synthetic data generation methods using learned environment models.
• Explore language-conditioned approaches combining LLMs with state estimators.

📋 Requirements

• Ph.D. in ML, AI, or related field (or M.Sc. +3yrs, B.Sc. +6yrs experience).
• 2+ years experience in deep learning or optimization foundations.
• Experience with generative models, representation learning, or model-based RL.
• Proficiency in C, C++, or Python and expertise in TensorFlow or PyTorch.

✨ Nice to Have

• Experience building world models or latent-space simulators (e.g., Dreamer, MuZero).
• Familiarity with game engines (Godot, Unity, Unreal).
• Distributed computing or large-scale model training infrastructure.

🎁 Benefits & Perks

• 🏖️ Open PTO and flexible work schedules.
• 🏥 Medical, dental, vision, and life insurance.
• 👶 Parental leave for you, spouse/partner, and children.
• 💰 401k with company match.
• 📈 Incentive compensation and equity.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Phone Screen· 30 min
2. 2Technical Interview· 60 min
3. 3On-site Interview· Half day