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Machine Learning Engineer

Reducto· Engineering
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San Francisco, CA$150k - $240k + equity + bonusfull-timePosted 11mo ago

About the role

Reducto is hiring a Machine Learning Engineer to develop models for parsing and interpreting unstructured enterprise data like PDFs and spreadsheets, collaborating with founders and customers to shape product strategy.

Responsibilities

  • Training and deploying new state of the art models for parsing and interpreting unstructured data
  • Experimenting with novel techniques to improve LLM accuracy
  • Build data pipelines, evaluate model performance, and integrate models into the product
  • Working directly with the founders and customers to shape the product direction and engineering strategy

Qualifications

  • 2 to 5 years of experience with training, fine tuning, and evaluating ML models used in production systems
  • Exceptional at Python or similar, well versed with traditional computer vision and VLMs
  • Build your own tools as needed—like a quick Streamlit app to test hypotheses or create a dataset
  • A quantitative approach to building products, comfortable with full development lifecycle

Skills

Required:PythonComputer VisionVLMs (Vision-Language Models)
Last updated Mar 18, 2026. Interested? Apply on the company site.
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About Reducto

The most accurate API to parse documents

Reducto offers robust and reliable document ingestion for any workflow. Our API allows you to convert complex, unstructured documents into structured outputs that are perfect for RAG, process automation, and more.

documentsartificial-intelligencedata-engineeringenterprise-softwaresearch
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