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ML Engineer

Job in Seattle, King County, Washington, 98127, USA
Listing for: Icon Ventures
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, AI Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

About Revefi

Founded in 2021 by Sanjay Agrawal and Shashank Gupta, the visionary co‑founders of Thought Spot (4.2B+ valuation), Revefi is building an AI Agent for Data Spend Optimization, unifying observability across data quality, usage, spend, and performance—a category-defining platform for modern data teams. Backed by $20M in Series‑A funding from Icon Ventures, Mayfield Fund, GTM Capital, and Step Stone Group, we’re on a mission to build the future of Data Spend Optimization and Cloud Data Operations.

The Role

This is a unique, zero to one opportunity. You will be responsible for the full ML stack for the product.

Responsibilities
  • Develop and implement machine learning models that can improve business processes and outcomes, including those related to anomaly detection and time‑series forecasting.
  • Participate in the design, development, testing, and deployment of machine learning algorithms and models.
  • Responsible for the full development and production ML stack.
Requirements
  • Bachelor’s degree in computer science, data science or a related field.
  • 5+ years of experience in implementing, deploying and maintaining ML models.
  • Strong hands‑on experience in machine learning algorithms and techniques, such as regression, classification, clustering, deep learning, anomaly detection, and time‑series forecasting.
  • Strong programming skills in languages such as Python, Java, or R, with experience in libraries and frameworks such as Tensor Flow, PyTorch, and Scikit‑learn.
  • Familiarity with data analysis and visualization tools, such as Pandas, Num Py, and Matplotlib, with experience in time‑series analysis and visualization.
  • Excellent problem‑solving and analytical skills, as well as attention to detail.
  • Good communication and collaboration skills, and the ability to work in a team environment.
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