Description
Haus is hiring a senior Machine Learning Engineer to lead and build production machine learning systems, particularly for its cMMM product, using optimization, machine learning, causal inference, and probabilistic techniques. The role covers end-to-end solution delivery, ML pipeline and model validation, system architecture, code review, cross-functional collaboration, and mentoring ML engineers. Candidates need a PhD or equivalent experience in a relevant field, 10+ years of industry experience, and proficiency in an object-oriented programming language; deep learning, probabilistic modeling, reinforcement learning, Bayesian methods, MLFlow, and marketing or growth machine learning experience are bonuses. The role prefers candidates near Haus offices in San Francisco, Seattle, or New York City and offers health, dental, and vision insurance.
