Job description

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

Requirements

Must-haves

We are hiring a Founding ML Researcher in San Francisco.
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
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

Nice-to-haves

Bonus if you have

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Keywords to mirror

mlai

Platform: gem
Effort: medium

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Vision