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Founding ML Researcher

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Unsiloed AI
Full Time position
Listed on 2026-01-23
Job specializations:
  • IT/Tech
    Data Scientist, AI Engineer, Artificial Intelligence
  • Research/Development
    Data Scientist, Artificial Intelligence
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

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 aFounding ML Researcher, you will shape the company’sML 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 isresearch-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 deployingstate-of-the-art modelsfor parsing and understanding unstructured data
  • Experimenting with novel techniques to improvelayout 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

For any questions, email (Use the "Apply for this Job" box below).

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