Machine Learning Engineer

Reducto trains vision models that read complex documents the way a human would, and turns them into inputs an LLM can actually use. You would join an eight-person machine learning team, reporting directly to co-founder and CTO Raunak Chowdhuri, and own models end to end from research through production. The team runs a mix of smaller in-house models and larger open-source ones, and ships against real enterprise workloads: FAANG customers, top trading firms, and the AI teams building on top of Reducto.

You will feel at home here if you have shipped a model yourself, all the way to users, and never handed it off half-finished.

What You'll Do

- Train and deploy. Build new state of the art models for parsing and interpreting unstructured data.

- Experiment. Try novel techniques to improve LLM accuracy, and build the tooling to know whether they worked.

- Own the pipeline. Build data pipelines, evaluate model performance, and integrate models into the product.

- Work with founders and customers. Shape product direction and engineering strategy directly, not through a layer.