Senior ML Scientist, Amazon Games AI Research
1 day ago
Job ID: 2847968 | Amazon.com Services LLC - A57
Amazon Games is seeking a highly effective Senior Machine Learning Scientist to build and integrate novel ML, RL and Generative AI (Gen AI) approaches into our game pipelines and customer experiences. In this role, you will work closely with our game development studios and operations teams to research and develop generative AI-powered tools, pipelines and features across Amazon Games.
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- Drive the research, implementation, and productionizing for ambitious and complex AI/ML initiatives for Amazon Games.
- Collaborate with game team engineers, designers and artists to design, develop, and integrate new generative AI tools into developer workflows.
- Proactively identify and solve problems that affect the quality of life for players, operations, and other developers.
- Stay up to date with and analyze the latest advancements in generative AI technology, and continuously improve product features where meaningful improvements in cost, scalability, quality, or functionality can be achieved.
- Consult and contribute to evaluations of other internal or 3rd ML, RL and Gen AI services that could be leveraged by the project or the organization.
- 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.
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.
BASIC QUALIFICATIONS- Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field.
- 5+ years of building machine learning models for business application experience.
- Experience programming in Java, C++, Python or related language.
- Experience with neural deep learning methods and machine learning.
- 6+ years of applied research experience.
- 3+ years of experience in mentoring junior colleagues or contributing as a leader by interviewing, managing a team or similar.
- 1+ years of experience in Game development (or similar entertainment field) including working with game designers and artists.
- PhD degree in Machine Learning, Natural Language Processing (NLP), or a related quantitative field.
- 1+ year of experience building applications to use generative AI models via prompt engineering, RAG, RLHF, fine tuning or other modern approaches.
- Extensive knowledge and practical experience in at least one of these areas of machine learning: Deep Learning systems, NLP, Reinforcement Learning.
- Experience building player facing ML/AI products for games.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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