Riot Games
Staff Data Scientist - AI Foundations, ML Bots
Riot Games, Los Angeles, California, United States, 90079
Staff Data Scientist - AI Foundations, ML Bots
Riot Games is seeking a Staff Data Scientist specializing in applied machine learning to lead the design and development of Game Understanding Agents. This includes deployment of in-game Game AI capabilities that enhance both the player and developer experience. As a Staff Data Scientist, you will lead the design and implementation of ML systems using methods including reinforcement learning and imitation learning. You will advance methods in reinforcement learning, imitation learning, and simulation-based training for game AI, guiding engineers on the ML Bots team in building and scaling production-ready systems. Responsibilities:
Lead the design and implementation of ML systems using methods including reinforcement learning and imitation learning. Lead the development and deployment of in-game Game AI capabilities, focusing on training agents that can understand game state, make decisions, and act in ways that create compelling player experiences. Create reusable training and evaluation pipelines that can be applied across multiple game genres while adapting to the unique constraints of each title. Develop predictive features and signals from gameplay telemetry, unstructured game data, and simulation outputs, ensuring quality, interpretability, and reliability. Collaborate with game and platform engineers, along with UX teams, to ensure the operational reliability of autonomous agents operating in live player environments. Mentor junior and senior-level ML engineers, elevating expertise in advanced ML methods for game AI and guiding architectural and system-level decisions. Contribute to and shape shared frameworks for autonomous agent development, accelerating adoption of best practices across Riot. Required Qualifications:
Extensive experience (5+ years) delivering ML systems in production, including reinforcement learning, imitation learning, or simulation-based training in rich, interactive environments. Experience developing predictive features and signals from gameplay telemetry, simulation data, or other complex interactive environments. Strong track record building and optimizing agent-based systems or world models for dynamic, player-facing environments. Experience with relevant ML methods, including reinforcement learning and imitation learning. Experience with experiment design, model evaluation, and optimization for autonomous agents. Track record of incorporating human considerations into AI applications, such as responsible AI practices and human-computer interaction or UX best practices. Experience mentoring engineers and collaborating with cross-disciplinary teams. Familiarity with integrating ML-driven agents into live game environments with game and platform engineers. Familiarity with MOBA game mechanics and their implications for agent design and evaluation. Proficiency in Python and experience working with modern ML/data science libraries and frameworks. Riot Games offers a competitive salary, benefits, and perks, including open paid time off, flexible work schedules, medical, dental, and life insurance, parental leave, and a 401k with company match. Riot Games is an equal opportunity employer and welcomes applications from diverse candidates.
#J-18808-Ljbffr
Riot Games is seeking a Staff Data Scientist specializing in applied machine learning to lead the design and development of Game Understanding Agents. This includes deployment of in-game Game AI capabilities that enhance both the player and developer experience. As a Staff Data Scientist, you will lead the design and implementation of ML systems using methods including reinforcement learning and imitation learning. You will advance methods in reinforcement learning, imitation learning, and simulation-based training for game AI, guiding engineers on the ML Bots team in building and scaling production-ready systems. Responsibilities:
Lead the design and implementation of ML systems using methods including reinforcement learning and imitation learning. Lead the development and deployment of in-game Game AI capabilities, focusing on training agents that can understand game state, make decisions, and act in ways that create compelling player experiences. Create reusable training and evaluation pipelines that can be applied across multiple game genres while adapting to the unique constraints of each title. Develop predictive features and signals from gameplay telemetry, unstructured game data, and simulation outputs, ensuring quality, interpretability, and reliability. Collaborate with game and platform engineers, along with UX teams, to ensure the operational reliability of autonomous agents operating in live player environments. Mentor junior and senior-level ML engineers, elevating expertise in advanced ML methods for game AI and guiding architectural and system-level decisions. Contribute to and shape shared frameworks for autonomous agent development, accelerating adoption of best practices across Riot. Required Qualifications:
Extensive experience (5+ years) delivering ML systems in production, including reinforcement learning, imitation learning, or simulation-based training in rich, interactive environments. Experience developing predictive features and signals from gameplay telemetry, simulation data, or other complex interactive environments. Strong track record building and optimizing agent-based systems or world models for dynamic, player-facing environments. Experience with relevant ML methods, including reinforcement learning and imitation learning. Experience with experiment design, model evaluation, and optimization for autonomous agents. Track record of incorporating human considerations into AI applications, such as responsible AI practices and human-computer interaction or UX best practices. Experience mentoring engineers and collaborating with cross-disciplinary teams. Familiarity with integrating ML-driven agents into live game environments with game and platform engineers. Familiarity with MOBA game mechanics and their implications for agent design and evaluation. Proficiency in Python and experience working with modern ML/data science libraries and frameworks. Riot Games offers a competitive salary, benefits, and perks, including open paid time off, flexible work schedules, medical, dental, and life insurance, parental leave, and a 401k with company match. Riot Games is an equal opportunity employer and welcomes applications from diverse candidates.
#J-18808-Ljbffr