AWS GameTech Cortex is an applied science & ML team, that specializes in full stack data solutions for games.
Requirements
3+ years of building models for business application experience
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Experience using Unix/Linux
Experience in professional software development
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Additional Information
AWS GameTech Cortex is seeking an experienced Applied Scientist to join our team that specializes in full stack data solutions for games. In this role, you will drive the development and deployment of machine learning solutions that directly impact how game developers build, operate, and optimize their games on AWS. You will work at the intersection of gaming, data science, and cloud infrastructure to solve complex problems in areas such as player behavior prediction, game performance optimization, content recommendation, and anti-cheat systems.
As a senior member of the team, you will lead the design and implementation of ML models and algorithms that process massive-scale gaming data. You will collaborate with game studios, AWS service teams, and product managers to identify high-impact opportunities and translate them into scalable ML solutions. Your work will influence the gaming experiences of millions of players worldwide while helping game developers make data-driven decisions.
The ideal candidate combines deep expertise in machine learning with a passion for gaming and the ability to deliver production-ready solutions. You will mentor junior scientists, establish best practices for ML development, and contribute to the technical direction of the team.
Key job responsibilities
Design, develop, and deploy machine learning models and algorithms that solve critical problems for game developers, including player analytics, game performance optimization, content personalization, and fraud detection
Lead end-to-end ML projects from problem definition through production deployment, ensuring solutions are scalable, maintainable, and deliver measurable business impact
Analyze large-scale gaming datasets to identify patterns, extract insights, and develop predictive models that improve game operations and player experience
Collaborate with game studios and AWS service teams to understand their challenges, define requirements, and deliver ML solutions that integrate seamlessly with their workflows
Establish and promote best practices for ML development, experimentation, and deployment within the team, including model evaluation, A/B testing, and monitoring
Mentor and provide technical guidance to junior applied scientists and engineers, fostering a culture of innovation and technical excellence
Stay current with the latest research in machine learning, gaming analytics, and related fields, and apply relevant advances to solve customer problems
Communicate complex technical concepts and results to both technical and non-technical audiences, including senior leadership
Contribute to the technical strategy and roadmap for ML capabilities in AWS GameTech
Amazon Development Center U.s · Seattle, WA