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.

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