Machine Learning Engineer at Reducto

About the role

What will you do at Reducto?

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.

Which skills does this role require?

PythonComputer VisionVLMsStreamlitMachine LearningLLMs

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