Member of Technical Staff, Machine Learning

Build and improve core machine learning components powering a proactive assistant used for everyday tasks. Work on production ML systems from day one across data, training, evaluation, and inference—fine-tuning and adapting models inside larger production pipelines. Implement evaluation and testing, maintain data pipelines (real and synthetic), debug performance and production incidents, and ship iterative improvements informed by real user feedback under constraints like latency, cost, reliability, and safety.