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.
About the job
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 Models, Computer Vision, Document Ai, PyTorch, Transformers, Data Pipelines, Model Evaluation, Model Deployment, Inference Optimization, Layout Models
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