Full-Stack Software Engineer, Reinforcement Learning

Description: Build product interfaces, backend services, and internal tools for an AI reinforcement learning data platform. Collaborate with research engineers and external partners to create and evaluate training data. Requirements: Minimum 3 years of full-stack software engineering experience with production systems. Hands-on experience with AI, machine learning, or reinforcement learning. Proficiency in Python and modern web stacks (React, TypeScript, Next.js). Experience managing user-facing or internal products from design to deployment. Knowledge of backend services, APIs, databases, cloud infrastructure, Docker, CI/CD, and production debugging. Background in building dashboards, monitoring tools, data inspection tools, and quality assessment products. Experience with data collection, labeling, annotation, or evaluation platforms is a plus; familiarity with AWS, Kubernetes, Terraform, and Grafana is relevant. Benefits: Base salary ranging from $130,000 to $225,000 annually. Visa sponsorship and relocation support for candidates moving to the U.S. or Singapore.