Reducto

Machine Learning Engineer

Reducto
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9 months ago
San Francisco, CA, USAMid Level
H1B Sponsor

Base Salary

$150k - $300k/yr

Responsibilities

  • Train and deploy state-of-the-art models for parsing and interpreting unstructured data.
  • Experiment with novel techniques to improve LLM accuracy.
  • Build data pipelines and evaluate model performance.
  • Integrate models into the product.
  • Work directly with founders and customers to shape product direction and engineering strategy.
  • Build tools such as Streamlit applications to test hypotheses or create datasets as needed.

Requirements

  • At least 2 years of experience training, fine-tuning, and evaluating ML models used in production systems.
  • Exceptional Python or similar programming ability.
  • Strong familiarity with traditional computer vision and VLMs.
  • Ability to debug, experiment, iterate quickly, and work across the full development lifecycle.
  • Quantitative, high-agency approach to building and shipping products.
  • Prior company founding or early-stage product-building experience is a bonus.
  • Keeping up with the latest developments in ML and AI is a bonus.

Benefits

  • In-person role at the company’s San Francisco office.
  • Unlimited paid time off.
  • Free daily lunch at the office.
  • Reimbursed transportation.
  • Health insurance covering medical, dental, and vision.
  • Up to $150 per month for health and wellness expenses.
  • Parental leave with a flexible schedule.

Tech Stack

Categories

Reducto

About Reducto

51-200 employees

Reducto is the complete agentic document platform for leading AI teams needing performance at enterprise 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 currently power the best AI teams ranging from startups to Fortune 10 companies across all industries: legal, finance, healthcare, and more. We are built for enterprise workloads with flexible deployment options from the cloud to fully air-gapped environments, SOC II and HIPAA compliance, and zero data retention.