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Role description

MTS - ML Research Scientist

Omnifold logoOmnifold
AI-native
TypeFull-time
WorkplaceOn-site
SeniorityStaff / Lead
Salary$150,000–$300,000
LocationSan Francisco, CA
Posted3/10/2026
Research

Member of Technical Staff, ML Research Scientist

Omnifold trains custom AI models for each customer's supply chain - purpose-built systems that forecast demand, optimize decisions, and adapt continuously to a changing world. The research team is responsible for the core intelligence that makes this possible: developing new model architectures, curating proprietary data assets, and pushing the boundaries of what ML can do.

What makes this job interesting:

  • You will work on problems that frontier models can't solve. Supply chain dynamics require modeling physical systems and processes.

  • You will own the full research cycle, from hypothesis to production model, with direct visibility into real-world impact.

  • You will work at the intersection of machine learning models, optimization, LLM reasoning capabilities, and proprietary data - a combination few research teams are building

What you'll own:

  • Designing and training models for forecasting and optimization across complex, multi-variable supply chain environments

  • Building and curating proprietary data assets that carry signal about real-world physical and commercial systems

  • Integrating LLM knowledge and reasoning capabilities into purpose-built models to maximize accuracy and adaptability

  • Continuously improving model performance as market conditions shift (consumer sentiment, product launches, geopolitical changes, competitive dynamics)

What we're looking for:

  • Strong foundations in machine learning — experience developing and evaluating forecasting models, and LLM pipelines

  • Deep understanding of time-series forecasting, optimization, or related domains

  • Experience working with messy, heterogeneous real-world data

  • PhD or equivalent research experience preferred, but exceptional engineers with relevant industry experience will be considered

  • Comfort operating in a fast-moving, early-stage environment where research directly feeds production systems

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.

Compensation: $150K to $300K base | Equity | Health, dental, vision | 401(k)

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Company info

Omnifold logo

Omnifold

Exceptionally accurate forecasts for your supply chain which anticipate and adapt to change.

Omnifold precisely models the underlying mechanics of your supply chain and commercial operations, to deliver an intelligent, self-improving forecasting algorithm specific to the complexities of your business. Our technology is designed by Stanford, MIT, and Google researchers, and is based on advances in deep learning, reinforcement learning, and optimization. We are funded by Lightspeed and Kleiner Perkins, along with industry leaders including John Thompson (ex-Chairman of Microsoft), Girish Rishi (ex-CEO of Blue Yonder), and Yannis Skoufalos (ex-Chief Supply Chain Officer of P&G). Omnifold’s platform is deployed with multi-billion dollar corporations and high growth businesses with substantial improvements over AI / ML planning systems.

Private companySeries BAI-product
HQSan Francisco, United States
Unlock human wisdom
ThesisTermsPrivacy
Size
2-10 employees
IndustrySoftware Development
Funding
  • Series B · $30M · Jun 26, 2026
Investors
Kleiner PerkinsLightspeedK2 VenturesBloomberg BetaMangusta

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