Head of Research
Lead a research team at Omnifold to develop advanced forecasting and optimization models in a startup environment.
Posted by employer 1 day ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
Skills & Technologies
Must have
- 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
Nice to have
- Experience with LLM infrastructure - inference, fine-tuning, RL etc.
- Success in environments with quantitative models
- Startup experience
Practical constraints
- In-person, 5 days per week
Requirements
- Education
- PhD
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Joblaze summary
The Head of Research at Omnifold leads a team focused on developing advanced models for forecasting and optimization, particularly in supply chain applications. This role requires a strong foundation in machine learning, with hands-on experience in deploying models, as well as management experience to scale the research team. Ideal candidates will have a PhD in a relevant field and a background in quantitative modeling, with a preference for those familiar with large language model infrastructure. Omnifold's team comprises experts from top institutions, emphasizing a collaborative approach to tackling inefficiencies in physical product management.
Joblaze insights
- Listed yesterday on Joblaze — tracked directly from Omnifold's career page.
- Omnifold has 11 other open roles including MTS - Infrastructure, MTS - ML Research Engineer, Director of Applied AI.
- 5148 active AI/ML roles on Joblaze right now.
- 799 active Machine Learning roles on Joblaze right now.
- Typical AI/ML salary we track runs $140,000–$231,000 (median $180,000, across 2237 roles). See AI/ML salary trends
Quick facts
- Is the Head of Research role remote?
- No — this is an on-site role in San Francisco, United States.
- Where is the role based?
- Omnifold is hiring for this position in San Francisco, United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, Machine Learning.
- What seniority level is this role?
- Omnifold targets c-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Head of Research role at Omnifold.
From the original posting
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.