Senior Applied Scientist, AWS GameTech Cortex
Core
Design, develop, and deploy machine learning models and algorithms to solve critical problems for game developers, including player analytics, game performance optimization, content personalization, and fraud detection.
Role type
Senior Applied Scientist (ML)
Builds
Scalable ML solutions for game developers on AWS
Domain
Cloud infrastructure + Gaming
Deliverable
production ML models
Required skills
Machine learning, deep learning, large-scale distributed systems, model deployment, A/B testing, model evaluation, technical mentorship
Preferred skills
Reinforcement learning, distributed ML architectures, AI product development at scale, gaming industry experience
Technologies
MxNet, Tensor Flow, Hadoop, Spark
Responsibilities
Lead end-to-end ML projects from problem definition through production deployment; Analyze large-scale gaming datasets to identify patterns and develop predictive models; Collaborate with game studios and AWS service teams to define requirements and deliver integrated ML solutions; Establish and promote best practices for ML development, experimentation, and deployment; Mentor junior applied scientists and engineers; Contribute to the technical strategy and roadmap for ML capabilities in AWS GameTech
Seniority
Senior, hands-on IC with mentorship responsibilities
