Machine Learning Engineer - ML Ops

Regrello, a 60-person startup backed by prestigious investors like Andreessen Horowitz and Tiger Global, is revolutionizing supply chain automation. They're seeking a Machine Learning Engineer to join their AI-research team, focusing on bridging ML Research and Software Engineering. The role involves productionizing a novel foundational deep learning model for complex tabular datasets.

The company is tackling a $220-billion market opportunity in supply chain communication, where $13T of annual shipments are still managed via email. Their platform includes a workflow engine for modeling complex manufacturing processes, a forms engine for inter-company data exchange, and an AI engine for optimization.

The ideal candidate will have 3+ years of experience in MLOps and deep learning deployment in industry settings. They'll work on cutting-edge solutions that directly impact manufacturing and supply chain optimization globally. The position offers competitive compensation ($165,000-$220,000), equity, and comprehensive benefits.

Working in a hybrid/remote environment, the engineer will collaborate with cross-functional teams, manage AI model deployment, and contribute to the company's growth. The role requires strong technical skills in Python, deep learning frameworks, and data engineering technologies, combined with excellent communication abilities.

This opportunity offers the chance to work with industry veterans from Oracle, Palantir, Apple, Amazon, and Microsoft, serving some of the world's largest electronics manufacturers. With 2-3 years of runway, Regrello provides both startup agility and longer-term stability.