Founding ML Researcher
Read straight from Unsiloed AI's careers page, verified 19h ago.Seekless can tailor your résumé to it.
Seekless can write your résumé for this posting first.
Before you apply
Salary$200k – $300k
LocationSan Francisco, United States
Work modeon-site
Typefull-time
SeniorityLead
EquityIncluded
Company size1–10 people
PostedDec 31, 2025 · 10mo ago
Verified live19h ago
May no longer be actively hiring
Posted by the company on Dec 31, 2025
At a glanceSummarised by Seekless from the posting.
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
Skills
VLM
Computer Vision
model serving
inference optimization
deployment at scale
Benefits
Equity
About the role
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
Benefits
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
More roles at Unsiloed AI