Reducto

Machine Learning Engineer

San Francisco Office

Sponsorship not specifiedDetected 238 days ago

PythonRESTMachine LearningData EngineeringComputer VisionLLMs

About the role

Reducto has raised over $100M from world-class investors including a16z, Benchmark, and First Round Capital.

Automatically convert graphs to tabular data and summarize images in documents
Build powerful retrieval pipelines using Reducto's document metadata
Intelligently chunk information using the document's layout data
Build data pipelines, evaluate model performance, and integrate models into the product
Have prior experience founding a company or building products at early stages
This isn't an inconvenience-it's a critical bottleneck that leads to dozens of wasted hours every week https://www.reducto.ai/blog/the-real-cost-of-manual-document-processing.
OCR and even more sophisticated ML approaches work for simple text documents but are unreliable for anything more complex.
Overcoming this usually requires a large engineering effort dedicated to building specialized pipelines for every document type you work with.
Reducto https://www.reducto.ai/ breaks document layouts into subsections and then contextually parses each depending on the type of content.

You have a high bar for quality and don't rest until the job is done right-no settling for 90%.
You have 2+ years of experience with training, fine tuning, and evaluating ML models used in production systems
Ability to debug, experiment, and iterate fast.

You're exceptional at Python or similar, and are well versed with both traditional computer vision and VLMs
Training and deploying new state of the art models for parsing and interpreting unstructured data
Experimenting with novel techniques to improve LLM accuracy
Are ambitious and driven, and care a lot about doing great work with great people
Keep up with the latest developments in ML/AI
Nearly 80% of enterprise data is in unstructured formats like PDFs
PDFs are the status quo for enterprise knowledge in nearly every industry.
Traditional approaches fail at reliably extracting information in complex PDFs
Text from different columns are jumbled together, figures are ignored, and tables are a nightmare to get right.
Put simply, we can help you:
Accurately extract text and tables even with nonstandard layouts
Extract important fields from complex forms with simple, natural language instructions

Insurance claims, financial statements, invoices, and health records are all stored in a structure that's simply impractical for use in digital workflows.
This is made possible by a combination of vision models, LLMs, and a suite of heuristics we built over time.
Generous health insurance covering medical, dental, and vision.
We provide up to $150/mo reimbursement for health and wellness spending, such as gym memberships, fitness classes, or similar.
Work with us to build a leave schedule that works for you and your family

Reducto is the agentic document platform for leading AI teams who demand enterprise performance at scale.
We provide a comprehensive toolkit for working with documents the way a human would, combining custom in-house and leading frontier models to power efficient and accurate document workflows.
We've grown rapidly, increasing revenue 8x year over year and partnering with hundreds of companies, from leading AI teams like Harvey, Vanta, and Scale, to enterprise customers across FAANG and top trading firms.
At Reducto, we're invested in the well-being and growth of our team.
Working directly with the founders and customers to shape the product direction and engineering strategy

Equal Opportunity Employer committed to diversity and inclusion in the workplace.

n, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by app

This listing is sourced directly from Reducto's careers page and normalized into a canonical job model.