Teams at Spotter

Design, train, evaluate, optimize, and deploy production ML models including recommendation, ranking, personalization, and adaptive decision systems. Apply reinforcement learning, contextual bandits, offline policy evaluation, causal inference, and experimentation to improve creator-facing products. Build scalable training, evaluation, deployment, and inference pipelines; work with logged interaction data; collaborate with Product, Engineering, and Analytics to translate customer problems into production ML solutions.