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Machine Learning Engineer

San Francisco Office · San Francisco, California, United States

Pay
Pay not listedSimilar roles state $165K–$240K
Work setting
Not stated
Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team
Engineering — team source
Department: Engineering
From the employer’s posting
Apply at Reducto

What you’ll work on

Full posting
  • Train and deploy new state-of-the-art models for parsing unstructured data

  • Experiment with novel techniques to improve LLM accuracy

  • Build data pipelines, evaluate model performance, and integrate models into the product

  • Work directly with founders and customers to shape product direction

From the employer’s posting
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

What you’ll bring

All qualifications

Core experience

  • 2+ years training, fine-tuning and evaluating ML models in production
  • Exceptional at Python or similar languages
  • Well versed in traditional computer vision and VLMs

Preferred experience

  • Prior experience founding a company or building early-stage products
  • Keeps up with the latest developments in ML and AI
Qualification wording
You have 2+ years of experience with training, fine tuning, and evaluating ML models used in production systems
You’re exceptional at Python or similar
well versed with both traditional computer vision and VLMs
Have prior experience founding a company or building products at early stages
Keep up with the latest developments in ML/AI

Tools in this posting

  • Python
  • Streamlit
Source — Tool mentions in context
- Experience: You have 2+ years of experience with training, fine tuning, and evaluating ML models used in production systems - Language/Skills: You’re exceptional at Python or similar, and are well versed with both traditional computer vision and VLMs - Tools: Build your own tools as needed—like a quick Streamlit app to test hypotheses or create a dataset.
- Language/Skills: You’re exceptional at Python or similar, and are well versed with both traditional computer vision and VLMs - Tools: Build your own tools as needed—like a quick Streamlit app to test hypotheses or create a dataset. - Approach: A quantitative approach to building products. Ability to debug, experiment, and iterate fast. You should be comfortable getting hands-on with the full development lifecycle, from ideation to shipping to users.

About Reducto

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.

In the employer’s words · Read in context · Company website ↗

Posting record

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Open 4 monthsWe first saw this posting 149 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 2, 2026 · 149 days ago
Recorded sightings
125
Last seen by us
Oct 29, 2026
Employer says posted
Nov 25, 2025

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Job description

View original posting ↗

About Reducto

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.

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

We would love to meet you if you:

  • Philosophy: You are your own worst critic. You have a high bar for quality and don’t rest until the job is done right—no settling for 90%. We want someone who ships fast, with high agency, and who doesn't just voice problems but actively jumps in to fix them.

  • Experience: You have 2+ years of experience with training, fine tuning, and evaluating ML models used in production systems

  • Language/Skills: You’re exceptional at Python or similar, and are well versed with both traditional computer vision and VLMs

  • Tools: Build your own tools as needed—like a quick Streamlit app to test hypotheses or create a dataset.

  • Approach: A quantitative approach to building products. Ability to debug, experiment, and iterate fast. You should be comfortable getting hands-on with the full development lifecycle, from ideation to shipping to users.

The core work will include:

  • 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

Bonus points if you:

  • Have prior experience founding a company or building products at early stages

  • Are ambitious and driven, and care a lot about doing great work with great people

  • Keep up with the latest developments in ML/AI

This is an in person role at our office in SF. We’re an early stage company which means that the role requires working hard and moving quickly. Please only apply if that excites you.

About Reducto

Nearly 80% of enterprise data is in unstructured formats like PDFs

PDFs are the status quo for enterprise knowledge in nearly every industry. Insurance claims, financial statements, invoices, and health records are all stored in a structure that’s simply impractical for use in digital workflows. This isn’t an inconvenience—it’s a critical bottleneck that leads to dozens of wasted hours every week.

Traditional approaches fail at reliably extracting information in complex PDFs

OCR and even more sophisticated ML approaches work for simple text documents but are unreliable for anything more complex. Text from different columns are jumbled together, figures are ignored, and tables are a nightmare to get right. Overcoming this usually requires a large engineering effort dedicated to building specialized pipelines for every document type you work with.

Reducto breaks document layouts into subsections and then contextually parses each depending on the type of content. This is made possible by a combination of vision models, LLMs, and a suite of heuristics we built over time. Put simply, we can help you:

  • Accurately extract text and tables even with nonstandard layouts

  • Automatically convert graphs to tabular data and summarize images in documents

  • Extract important fields from complex forms with simple, natural language instructions

  • Build powerful retrieval pipelines using Reducto’s document metadata

  • Intelligently chunk information using the document’s layout data

Benefits at Reducto

At Reducto, we’re invested in the well-being and growth of our team. Here’s what we currently offer:

  • Unlimited PTO: We believe great work requires recharging.

  • Lunch: Receive a free lunch to eat with your teammates daily at the office

  • Reimbursed Transportation: Provide us with your receipts and we’ll take care of the costs

  • Insurance: Generous health insurance covering medical, dental, and vision.

  • Health and Wellness Budget: We provide up to $150/mo reimbursement for health and wellness spending, such as gym memberships, fitness classes, or similar.

  • Parental Leave: Work with us to build a leave schedule that works for you and your family

Reducto is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, 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 applicable national, federal, state or local law.

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Location & working pattern

San Francisco, California, United States

Working pattern and location restrictions need checking in the full posting.

Work authorization
- Parental Leave: Work with us to build a leave schedule that works for you and your family Reducto is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, 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 applicable national, federal, state or local law.

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