Machine Learning Engineer at Harvey AI

The candidate cold-applied for a Principal Machine Learning Engineer role at Harvey AI due to its alignment with their MLOps experience. The interview process consisted of five rounds, including a recruiter screen, online assessment, live coding, an architecture panel, and a director chat. The architecture panel was particularly insightful, focusing on tradeoffs, latency, and communication of technical concepts. While the candidate received an offer, they declined due to the non-negotiable terms.