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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. This role is research-heavy but product-oriented. You should be comfortable moving between theory, experimentation, and real-world deployment.
Job Responsibility:
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
Requirements:
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
3+ years experience
Skills: Torch/PyTorch, Python, CUDA, Computer Vision, Data Analytics
Nice to 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