Founding ML Researcher

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%