Teams at Sett

Own end-to-end feature development for an AI-powered mobile gaming advertising platform, including design, coding, testing, and production deployment. Develop LLM-based applications and proprietary AI agents, collaborate through design and code reviews, and partner with research and engineering teams to deliver impactful backend solutions.

Lead an open-ended deep learning research program by defining research questions, developing and training models, designing datasets and evaluations, and judging scientific progress. Drive difficult projects through technical obstacles, provide mentorship and technical leadership, and collaborate with Engineering and Product to turn validated research into usable capabilities. Relevant areas include world modeling, video and multimodal learning, sequential modeling, imitation learning, reinforcement learning, and human behavior modeling.

Build end-to-end customer-facing AI products and agentic systems. Design orchestration, APIs, and distributed services; implement React frontends and Python backends; deploy scalable microservices on AWS with Docker and Kubernetes; improve reliability, observability, and production performance for continuous shipping.