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Unsiloed AIUnsiloed AISan Francisco, CA

Founding ML Researcher

Founding ML Researcher shapes ML research direction for document AI, owns end-to-end lifecycle from research to production deployment. Requires expertise in VLMs, computer vision, unstructured data parsing; PhD preferred.

200k – 300k/yr
On-siteAI Research

About the role

What you Will Do

  • 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%

Skills

Vision Language ModelsComputer VisionDocument AiPyTorchTransformersData PipelinesModel EvaluationModel DeploymentInference OptimizationLayout Models

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