Founding ML Researcher
San Francisco
- Pay
$200,000–300,000/yearAnnual period assumed — pay source
Familiarity with model serving, inference optimization, or deployment at scale Compensation: $200k – $300k Equity: 0.1% – 1%
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingOwn the end-to-end ML lifecycle: research → experimentation → training → evaluation → production deployment
Work with engineering team to transition research into deployed, scalable systems
Drive best practices for data, experimentation, evaluation, and model iteration.
From the employer’s posting
As a Founding ML Researcher, you will shape the company’s ML research direction and translate research into production-ready document AI models. Own the end-to-end ML lifecycle: research → experimentation → training → evaluation → production deployment Work with engineering team to transition research into deployed, scalable systems
Own the end-to-end ML lifecycle: research → experimentation → training → evaluation → production deployment Work with engineering team to transition research into deployed, scalable systems Drive best practices for data, experimentation, evaluation, and model iteration.
Work with engineering team to transition research into deployed, scalable systems Drive best practices for data, experimentation, evaluation, and model iteration. What We are Looking For
What you’ll bring
All qualificationsCore experience
- Familiarity with model serving, inference optimization, or deployment at scale
Qualification wording
Familiarity with model serving, inference optimization, or deployment at scale
Job description
What you Will Do
- Own the end-to-end ML lifecycle: research → experimentation → training → evaluation → production deployment
- Work with engineering team to transition research into deployed, scalable systems
- Drive best practices for data, experimentation, evaluation, and model iteration.
What We are Looking For
- Training and deploying state-of-the-art models for parsing and understanding unstructured data
- Experimenting with novel techniques to improve layout models and VLM-based document understanding
- Building data pipelines, evaluating model performance, and integrating models into production systems
- Working directly with the founders to shape the product direction and engineering strategy
Bonus if you have
- PhD or equivalent research experience in VLM, Computer Vision or related areas.
- Publications in top-tier AI conferences
- Familiarity with model serving, inference optimization, or deployment at scale
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
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Source & posting history
Source notes
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- Pay
Familiarity with model serving, inference optimization, or deployment at scale Compensation: $200k – $300k Equity: 0.1% – 1%
- Location & working pattern
San Francisco
Working pattern and location restrictions need checking in the full posting.
- Work authorization
Location: In-person, San Francisco Visa: Open to sponsoring For any questions, email hiring [at] unsiloed [dot] ai
- Status in our records
- Active
- First seen by us
- Jun 12, 2026
- Recorded sightings
- 40
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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