Backend Software Engineer, TikTok Live Recommendation Infrastructure

Build and optimize backend infrastructure for TikTok Live recommendation workloads, covering training, inference, and data pipelines. Develop distributed training pipelines and low-latency inference serving, and architect data pipelines for offline feature engineering and ranking models. Partner with applied ML engineers and researchers to productionize models and integrate them into the Live recommendation stack, while driving performance improvements, scalability, robustness, and cost efficiency in high-traffic streaming scenarios.