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Omnifold in San Francisco seeks a Head of Research to lead a growing team of researchers focused on forecasting and optimization for supply chain. You will shape research direction, recruit talent, and ensure production-grade ML systems from theory to deployment.
The role requires a PhD in a relevant field and hands-on experience training and deploying production ML models. In-person work five days a week.
Omnifold trains frontier models for forecasting and optimization. Our research team is professors and PhDs from OpenAI, Adept, Google, Stanford, and MIT. We build systems to outperform the state of the art algorithms in prediction, optimization, and control, with a focus on supply chain use cases. We are looking for a leader with the following background:
Every bad forecast has a physical consequence. Unnecessary goods are manufactured, shipped, and stored. Emergency air freight is needed for misallocated products. Poor production planning means workers show up with nothing to do, or work frantic overtime. Inefficiency is everywhere.
Our mission is to eliminate waste and accelerate growth for every company with physical products.