Omnifold
MTS - ML Research Scientist
$150K–$300K
San Francisco HQ · On-site · Full-time · Posted Mar 10, 2026
- Education
- PhD or equivalent research experience preferred; exceptional engineers with relevant industry experience will be considered.
About the job
Develops and deploys machine-learning models for supply-chain forecasting and optimization, combining proprietary data with LLM capabilities.
What you'll do
- Design and train models for forecasting and optimization in complex supply-chain environments.
- Build and curate proprietary datasets reflecting real-world physical and commercial systems.
- Integrate LLM knowledge and reasoning into purpose-built models and improve their performance as conditions change.
What they ask for
- Strong machine-learning foundations, including 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.
- In-person work in San Francisco five days per week.
Nice to have
- PhD or equivalent research experience.
Pay
$150K to $300K USD base salary
Tools
machine learning, LLM
AI focus
Develops forecasting and optimization models for supply chains and integrates LLM knowledge and reasoning capabilities into purpose-built models.
Model-written summary · the original posting is authoritative