Summary
Max Tian is a machine learning and data science engineer with nine years of experience building and deploying large-scale NLP and ML systems across startups and research teams. Currently a Member of Technical Staff at Cohere, he specializes in LLM training and post-training workflows—SFT, RL, synthetic data and agent reasoning—work he previously advanced at Reka AI and ServiceNow Research. He has a strong track record shipping production ML services (intent detection, topic modelling, vision-based attribute extraction) that measurably improved accuracy and latency for product search and conversational AI. Max pairs academic rigor (MSc in Statistics) with applied R&D, having developed novel neural calibration for polygenic scores and reinforcement-learning trading strategies. Comfortable across the full ML lifecycle, he blends research-level model design with practical deployment skills (PyTorch, Docker, Kubernetes) and a knack for turning noisy real-world data into repeatable, high-impact systems.
8 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Statistics, Master of Science - MS, Statistics at McMaster University
Bachelor’s Degree, Finance, Bachelor’s Degree, Finance at Wilfrid Laurier University
Bachelor’s Degree, Mathematics, Bachelor’s Degree, Mathematics at University of Waterloo