The Role
Lead research and translate models into production-ready document AI systems. Own end-to-end ML lifecycle (research, experimentation, training, evaluation, deployment), build data pipelines, optimize inference and serving, and collaborate with engineering and founders to shape product and engineering strategy.
Summary Generated by Built In
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.
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
Skills Required
- Own end-to-end ML lifecycle: research, experimentation, training, evaluation, and production deployment
- Training and deploying state-of-the-art models for parsing and understanding unstructured data
- Experimenting with techniques to improve layout models and VLM-based document understanding
- Building data pipelines and evaluating model performance
- Integrating models into production systems and working with engineering to deploy scalable systems
- Operate proactively, take full ownership, and independently drive systems from idea to production
- Work directly with founders to shape 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
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The Company
What We Do
Unsiloed AI is the unstructured data interface for LLMs and AI agents. The company builds vision-first, layout-aware systems using computer vision, OCR, and multimodal models to transform complex documents—such as PDFs, images, and spreadsheets—into deterministic, machine-readable JSON and Markdown. This allows AI agents to reliably read and write to documents for high-stakes workflows in sectors like finance, legal, and healthcare.
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