Member of Technical Staff, Machine Learning

Build and improve core machine learning components for real production systems, from data and training through evaluation and inference. Fine-tune and adapt models within larger production workflows, implement testing to understand model behavior, and maintain robust data pipelines using real and synthetic data. Debug model and performance issues, collaborate with senior ML engineers and product teams, and ship iterative improvements under constraints like latency, cost, reliability, and safety.