Head of Research

Omnifold • San Francisco, CA

1d • Onsite

About The Position

Omnifold trains frontier models for forecasting and optimization. Our research team consists of professors and PhDs from top institutions like OpenAI, Adept, Google, Stanford, and MIT. We focus on building systems that outperform state-of-the-art algorithms in prediction, optimization, and control, with a particular emphasis on supply chain applications. We are seeking a leader to scale our research team from 5 to 20 researchers.

Requirements

• Background in ML foundations (PhD in CS theory, statistics, econometrics, operations research/systems engineering, math, or theoretical physics).
• Hands-on experience training and deploying production ML models.
• First-line or second-line management experience.

Nice To Haves

• Experience with LLM infrastructure (inference, fine-tuning, RL, etc.).
• Success in environments with quantitative models (e.g., quant research fund, ranking, ads).
• Startup experience.

Responsibilities

• Lead and scale a research team from 5 to 20 researchers.
• Train and deploy production ML models.
• Outperform state-of-the-art algorithms in prediction, optimization, and control, focusing on supply chain use cases.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: Ph.D. or professional degree