Coinbase

Staff ML Risk Analytics

8.0/10

Coinbase

$98,000 – $162,000 USD13.3% below market
Remote
senior
about 3 hours ago
aianalyticscryptofintechmachine learningdata scienceSparkPythonbig dataSQL
AI SummaryVerified by Aipplify AI

The vacancy is well-structured, providing clear expectations and requirements, though some details on compensation could be improved.

AI quality score8.5 / 10

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Overview

Join Coinbase as a Staff ML Risk Analytics professional to tackle sophisticated fraud using machine learning. Work remotely and collaborate with a dynamic team focused on enhancing fraud detection and prevention. Coinbase is a remote-first company committed to increasing economic freedom. We build the future of finance with a focus on innovation and high standards.

What you’ll be doing

  • Define the ML data and feature strategy for fraud detection.
  • Own the end-to-end feature engineering pipeline.
  • Diagnose gaps between current tooling infrastructure and needed solutions.
  • Partner with Machine Learning Engineers to translate insights into production-ready ML systems.
  • Set technical direction for the ML Analytics function and mentor junior team members.
  • Partner cross-functionally with Product Managers and Risk analysts.
  • Serve as the team's institutional knowledge resource on ML industry evolution.

What we offer

  • Base salary range: $98K - $162K.
  • Total compensation may include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).
  • Equal Opportunity Employer commitment.
  • Reasonable accommodations for individuals with disabilities.

What we look for in you

  • 8+ years of hands-on experience in machine learning analytics or related fields.
  • Deep expertise in Spark, Python, and big data ML.
  • Proven experience in feature engineering for ML models.
  • Holistic understanding of ML industry evolution.
  • Background in risk or payments ML is strongly preferred.
  • A passion for fighting fraud and abuse.
  • Ability to responsibly use generative AI tools in workflows.

Skills

machine learningdata scienceSparkPythonbig dataSQL
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