Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
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The role requires expertise in ML engineering, data engineering, platform reliability, architecting feature stores, data pipelines (e.g., Dagster), model training/serving platforms, and compute optimization in GCP and hybrid environments.
Honeycomb fosters a culture where innovation is celebrated, employees feel deeply connected to the mission and one another, and smart people challenge each other to be better every day; it was ranked by Newsweek as one of “America’s Greatest Startup Workplaces.”
A strong candidate will have hands-on experience in AI/ML infrastructure, technical leadership skills to mentor engineers, and the ability to define roadmaps, productionize models, and optimize for reliability, security, and cost.
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Honeycomb Insurance simplifies real estate insurance for condo associations, homeowners associations (HOAs), building owners, property managers, and developers. The company provides instant quotes and cost savings of up to 40% by using advanced technology and expert advice. Unlike competitors, Honeycomb focuses on a people-centered, tech-driven approach that streamlines the insurance process. Its goal is to make real estate insurance more efficient and accessible for a diverse range of clients.