Senior Applied Scientist, AWS GameTech Cortex

About the role

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.

Responsibilities

• Drive the development and deployment of machine learning solutions that directly impact how game developers build, operate, and optimize their games on AWS.
• 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.
• Contribute to the technical strategy and roadmap for ML capabilities in AWS GameTech.

Qualifications

• 5+ years of building machine learning models for business application experience
• 5+ years of applied research experience
• Experience with popular deep learning frameworks such as MxNet and Tensor Flow
• Experience with large scale distributed systems such as Hadoop, Spark etc.