Build and maintain backend services, distributed data systems, and scalable batch and streaming pipelines for TVision’s audience measurement platform. Develop tools supporting device telemetry, content recognition, data ingestion, and large-scale analytics. Collaborate with data science and analytics teams, while ensuring data quality, security, performance, and timely delivery through testing, code review, monitoring, and operational best practices.

Develop and productionize reinforcement learning, contextual bandit, ranking, and prediction models for real-time advertising optimization. Analyze auction dynamics, experimentation, counterfactual evaluation, and large-scale data to improve bidding, targeting, personalization, and campaign outcomes. Collaborate with engineering, science, and product teams to deploy, monitor, retrain, and evaluate high-throughput, low-latency models.

Leads the end-to-end design, deployment, and performance of real-time ML prediction and bid-optimization systems for programmatic advertising. Provides hands-on technical leadership to applied scientists and ML engineers, formulates optimization problems, manages production ML challenges such as latency, delayed feedback, drift, and retraining, and aligns technical roadmaps with business priorities.