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Machine Learning Engineer

Reducto

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Location:
United States, San Francisco

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

150000.00 - 300000.00 USD / Year

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
Job Link Share:
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