We are in the business of building data solutions that allow us, and our partner teams, to apply data in order to improve experiences for our players. This role will directly be responsible for driving our applied AI initiatives.
Key job responsibilities
In this role, you will be responsible for architecting and implementing AI & ML systems and products, including generative AI products and applications. You will research and prototype models and solutions in various AI & ML domains, and drive those to production.
A day in the life
Amazon Games applies the principles of Amazonian culture to the world of game design. We have a diverse team of talented, creative people pairing their love of making games with the unique strengths that come with being part of Amazon. Across all of our teams and locations, we are united by a common purpose: to share great gaming experiences with customers around the world. We believe in a future where everyone is a gamer and everyone can create, compete, collaborate and connect through games, and we are looking for the right people to help us build that future. With the power of Twitch and AWS at your fingertips, you will have the chance to innovate in gameplay, creativity, marketing, and technology, while working alongside some of the smartest and most creative minds in the industry.
About the team
AGS Data & AI engineering team is a multi-discipline team, in which we own data solutions end-to-end: from telemetry and ingestion, to warehousing, analytics platforms, and ML infrastructure and deployment.
Basic Qualifications
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
Preferred Qualifications
- Bachelor's degree in computer science or equivalent
- 5+ years of Games Industry (supporting title Development, Release, or Live Ops) experience
- Experience in designing, and deploying ML infrastructure, systems, and products
- Experience with RL, DRL, and distributed ML architectures
- Experience with designing and deploying services and products that leverage generative AI models
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
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