Senior ML Infrastructure Engineer

SENIOR ML INFRASTRUCTURE ENGINEER BACKGROUND Rebar is building the next-generation operating system for commercial HVAC, electrical, and plumbing suppliers and subcontractors. Over the past year, our V1 quoting product has scaled to thousands of quotes completed weekly, doubled revenue in 2026, and gained adoption across many of the top suppliers in North America. Fresh off a $14M Series A backed by leading construction tech investors, we're entering our next phase of growth — with AI at the center of everything we build next. We're looking for a Senior ML Infrastructure Engineer to build the platform our ML engineers depend on to rapidly iterate, experiment, and ship models — spanning feature pipelines, training infrastructure, evaluation, deployment, and monitoring. You'll be joining a small, highly capable team focused on delivering practical, production-ready ML systems in a fast-moving startup context. This role is ideal for someone who enjoys designing clean abstractions, integrating disparate systems into coherent platforms, and obsessing over the developer experience of the engineers they support. Our work spans the full ML lifecycle, and we're building the platform that makes it all hang together. RESPONSIBILITIES Platform & Developer Experience: Design and build the CLI, SDK, and services that serve as the single front door to our ML platform. Make launching a traini...