Member of Technical Staff, Machine Learning

Build and improve core machine learning components for production systems from day one, spanning data, training, evaluation, and inference. Fine-tune and adapt models within larger workflows, implement robust evaluation and testing, and maintain data pipelines for real-world and synthetic data. Debug model issues, performance problems, and production incidents under real constraints like latency, cost, reliability, and safety, while iterating from real user feedback.