Head of Research

Omnifold

San Francisco (CA)

On-site

USD 180,000 - 240,000

Full time

14 days+
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Job summary

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.

Qualifications

  • PhD in CS theory, statistics, econometrics, OR related field.
  • Hands-on experience training and deploying production ML models.
  • First- or second-line management experience to scale a 5–20 researcher team.

Skills

ML foundations
Production ML
Team leadership

Education

PhD in related field

Tools

LLM infrastructure

Job description

Head of Research

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:

Must have
  • Background in ML foundations (i.e. 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 minimum (remit is to scale a team from 5-20 researchers)
Nice to have
  • Experience with LLM infrastructure - inference, fine-tuning, RL etc.
  • Success in environments with quantitive models (quant research fund, ranking, ads)
  • Startup experience
Location:
  • San Francisco (in-person, 5 days per week)
Omnifold’s Mission

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.

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