Omnifold
MTS - ML Research Scientist
San Francisco HQ · Staff+
Sponsorship not specifiedDetected 134 days ago
Machine LearningLLMsForecastingSupply ChainResearchAdaptability
About the role
- What makes this job interesting: - You will work on problems that frontier models can't solve.
- Unnecessary goods are manufactured, shipped, and stored.
- Emergency air freight is needed for misallocated products.
Responsibilities
- You will own the full research cycle, from hypothesis to production model, with direct visibility into real-world impact.
- Building and curating proprietary data assets that carry signal about real-world physical and commercial systems
Requirements
- Experience working with messy, heterogeneous real-world data
- Comfort operating in a fast-moving, early-stage environment where research directly feeds production systems
Nice to have
- PhD or equivalent research experience preferred, but exceptional engineers with relevant industry experience will be considered
Benefits
- You will work at the intersection of machine learning models, optimization, LLM reasoning capabilities, and proprietary data - a combination few research teams are building
Company info
- San Francisco (in-person, 5 days per week)
- Omnifold's Mission
- Every bad forecast has a physical consequence.
- 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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This listing is sourced directly from Omnifold's careers page and normalized into a canonical job model.