Amazon Games is seeking a highly effective Senior Software Development Engineer to lead the implementation of innovative Machine Learning (ML), Reinforcement Learning (RL), and Generative AI techniques for game development applications. In this role, you will bridge the gap between our AI/ML science advancements and practical game development, creating reusable engine components and middleware. You will drive the development of AI technologies to enhance gameplay, optimize development workflows, and push the boundaries of interactive entertainment.
At Amazon Games, our ambition is to create bold new experiences that foster community in and around our games. Our team of game industry veterans develops AAA multiplayer games and original IPs, with teams in Seattle, Orange County, San Diego, Montreal, and Bucharest. Amazon Games, through its Studios, Publishing, and Prime Gaming divisions collaborating with external partners, aims to develop, publish, and deliver compelling AAA games and content experiences for gamers to discover.
Key job responsibilities
- Lead the design and development of robust, scalable, and reusable engine components that implement ML, RL, and Gen AI techniques that will be used by game teams using engines such as Unreal and Unity.
- Collaborate closely with Applied Scientists to translate their research and prototypes into production-ready game engine features.
- Develop a reusable middleware layer that facilitates the integration of AI technologies across multiple game projects and platforms.
- Collaborate with game teams to deliver AI-driven features into their workflows and game systems.
- Optimize AI implementation for performance, ensuring they meet the real-time requirements of game engines
- Contribute to the architecture and design of game systems that leverage AI technologies.
- Collaborate with other Amazon teams to identify and develop sharable AI technologies and tools.
- Stay current with advancements in game engine technologies, ML/RL/Gen AI, and their applications in gaming.
- Evaluate and integrate third-party AI solutions when appropriate, ensuring they meet our quality and performance standards.
- Mentor junior engineers and promote best practices in software engineering and AI implementation within the game development context.
- Champion the responsible implementation of AI in games, considering player experience, fairness, and potential biases.
A day in the life
- You thrive in a collaborative environment where your decisions have significant impact and influence.
- You are passionate about building game experiences that delight players.
- You deliver great workflows, tools, and game innovations to your fellow developers and constantly seek improvement.
- You want to be part of something exciting and unique in the gaming ecosystem.
About the team
The Amazon Games Studio AI Research team focuses on artificial intelligence innovation in gaming. Our highly skilled, multi-discipline team works across Machine Learning, Reinforcement Learning, and Generative AI to reimagine game development. We work closely with first-party game developers and partner studios to bring creative visions to life. Our mission is to use AI responsibly to transform gameplay experiences, enrich narratives, and provide creators with practical tools to optimize their production pipelines.
At Amazon Games, our ambition is to create bold new experiences that foster community in and around our games. Our team of game industry veterans develops AAA multiplayer games and original IPs, with teams in Seattle, Orange County, San Diego, Montreal, and Bucharest. Amazon Games, through its Studios, Publishing, and Prime Gaming divisions collaborating with external partners, aims to develop, publish, and deliver compelling AAA games and content experiences for gamers to discover.
Key job responsibilities
- Lead the design and development of robust, scalable, and reusable engine components that implement ML, RL, and Gen AI techniques that will be used by game teams using engines such as Unreal and Unity.
- Collaborate closely with Applied Scientists to translate their research and prototypes into production-ready game engine features.
- Develop a reusable middleware layer that facilitates the integration of AI technologies across multiple game projects and platforms.
- Collaborate with game teams to deliver AI-driven features into their workflows and game systems.
- Optimize AI implementation for performance, ensuring they meet the real-time requirements of game engines
- Contribute to the architecture and design of game systems that leverage AI technologies.
- Collaborate with other Amazon teams to identify and develop sharable AI technologies and tools.
- Stay current with advancements in game engine technologies, ML/RL/Gen AI, and their applications in gaming.
- Evaluate and integrate third-party AI solutions when appropriate, ensuring they meet our quality and performance standards.
- Mentor junior engineers and promote best practices in software engineering and AI implementation within the game development context.
- Champion the responsible implementation of AI in games, considering player experience, fairness, and potential biases.
A day in the life
- You thrive in a collaborative environment where your decisions have significant impact and influence.
- You are passionate about building game experiences that delight players.
- You deliver great workflows, tools, and game innovations to your fellow developers and constantly seek improvement.
- You want to be part of something exciting and unique in the gaming ecosystem.
About the team
The Amazon Games Studio AI Research team focuses on artificial intelligence innovation in gaming. Our highly skilled, multi-discipline team works across Machine Learning, Reinforcement Learning, and Generative AI to reimagine game development. We work closely with first-party game developers and partner studios to bring creative visions to life. Our mission is to use AI responsibly to transform gameplay experiences, enrich narratives, and provide creators with practical tools to optimize their production pipelines.