Applied Science Manager, GameLift
Core
Lead a new business unit on the GameLift team to create AI and ML-based applications for the gaming industry, translating ambiguous business opportunities into production-grade ML systems.
Role type
Senior Applied Science Manager (Hands-on IC with team leadership)
Builds
Scalable, reusable ML platforms and inference systems for live-service gaming
Domain
Gaming industry + Applied Machine Learning / Deep Learning
Deliverable
production ML models
Required skills
ML/NLP/Information Retrieval/Analytics, algorithm selection, A/B testing design, statistical significance assessment, scalable system architecture, team management, cross-functional partnership, production deployment, scientific rigor
Preferred skills
Deep learning, computer vision, complex software system delivery
Technologies
Deep learning, machine learning, computer vision
Responsibilities
Define and execute technical roadmap for applied science initiatives, lead rigorous model development processes, architect scalable ML platforms, manage and develop a team of scientists and engineers, drive end-to-end AI deployment, establish scientific standards, partner cross-functionally, maintain builder roadmap, enable startup-level autonomy, stay current with AI/ML research
Seniority
Senior, hands-on IC with mentorship responsibilities