Machine Learning Engineer Job at Reducto (San Francisco)

Machine Learning Engineer

Reducto

Location:
United States , San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

150000.00 - 300000.00 USD / Year

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Job Description:

Reducto helps AI teams ingest real world enterprise data with state of the art accuracy. The vast majority of enterprise data — from financial statements to health records — is locked in unstructured file formats like PDFs and spreadsheets. We train vision models to read those documents the way a human would, and make it possible to build products, train models, and automate processes at scale.

Job Responsibility:

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

Requirements:

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

Nice to have:

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

What we offer:

Unlimited PTO
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
Offers Equity

Additional Information:

Job Posted:
December 11, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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