Six Figure Work

MTS - ML Research Scientist

Omnifold

Company websiteomnifold.ai (Omnifold, opens in new tab)

Base salary $150K  to $300K

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA

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  • LocationSan Francisco, CA
  • WorkplaceOn-site
  • Status at last checkSource accepting applications when checked
  • Last checked (2 h ago) · observed since

About this job

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)

Source: Omnifold on Ashby · View original posting (opens in new tab)

Pay in context

This role's base floor ($150,000) is above 17% of the 1,513 Data & ML roles in California listed on this site; 58 others list the same floor. Their median floor is $188,000; the middle half runs from $159,200 to $229,500.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.

This range next to 4 other live Omnifold roles with the nearest advertised base floor
Chart as a table
This range next to 4 other live Omnifold roles with the nearest advertised base floor
RolePublished base
MTS - ML Research Scientist (this listing)$150K - $300K
MTS - Infrastructure$150K - $300K
Applied AI$150K - $300K
MTS - Applications$150K - $300K
Director of Applied AI$200K - $300K

Same $100K to $400K scale as every card. All Omnifold roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-03-10
Where this pay comes from

Location as the employer wrote it: San Francisco HQ

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

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.