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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
Apply at unsiloed-ai

What you’ll work on

Full posting
  • 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.

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 qualifications

Core 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

View original posting ↗

We are hiring a Founding ML Researcher in San Francisco.

We are building a small, talent-dense team. This role will define the engineering archetype at Unsiloed AI and set the ceiling for the team. We strongly believe technical DNA compounds (or degrades) with every hire and hence the first few matter disproportionately. You will be expected to operate proactively, take full ownership, and independently drive systems from idea to production.

What you Will Do

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
  • Drive best practices for data, experimentation, evaluation, and model iteration.



What We are Looking For

This role is research-heavy but product-oriented. You should be comfortable moving between theory, experimentation, and real-world deployment.

You should have experience with most of the following:
  • 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

Compensation: $200k – $300k
Equity: 0.1% – 1%
Location: In-person, San Francisco
Visa: Open to sponsoring

For any questions, email hiring [at] unsiloed [dot] ai

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

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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

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