Hybrid Machine Learning Engineer – Risk AI/ML

at Coinbase

• Job title: Machine Learning Engineer – Risk AI/ML
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $161,500 - $190,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python, PyTorch, Tensorflow, Go
• Location requirements: Hybrid, United States

About the role

• Machine Learning Engineer at Coinbase focused on building models to defend users against fraud. Collaborating with cross-functional teams to enhance risk management capabilities.

Responsibilities

• Use our centralized, self-service ML platform to own the end-to-end development of ML models, from ideation to production.
• Join a high-priority "pod" to enhance our core models, including the Scam Models, Transfer/Transaction Risk Models, Withdrawal Limit Models, and Account Takeover models.
• Act on new threat data (identified by our Risk Operations partners) to build, train, and deploy permanent ML models that replace temporary rules—targeting a deploy-to-production timeline of under one week.
• Develop production-grade AI/ML models and pipelines that enable reliable, real-time predictions, leveraging our platform's automated CI/CD pipelines and centralized feature store.
• Apply modern methodologies (e.g., deep learning, NLP, Graph Neural Networks (GNNs), sequence modeling, and LLMs for NLP and conversational agents) to solve complex, crypto-native challenges—all while focusing 100% on modeling, not infrastructure plumbing.
• Go beyond a single score. You will help build the adaptive logic that decides which friction (a quiz, an LLM agent, a human review) to apply to which user (e.g., new user, high-value trader), balancing security with user experience.
• Work closely with stakeholders from Risk Operations, Platform Engineering, and Product Management to close the feedback loop, turning new threats into automated defenses.

Requirements

• 4+ years of professional experience in software engineering and/or AI/ML, with experience deploying AI/ML systems into production.
• A commitment to building an open financial system and a strong desire to protect users from fraud and scams. You embody our core cultural values: add positive energy, communicate clearly, be curious, and be a builder.
• Familiarity with applied AI/ML techniques (e.g., Risk ML, deep learning, NLP, recommender systems, anomaly detection).
• Proficient coding skills (e.g., Python) with experience in AI/ML frameworks (TensorFlow, PyTorch). Experience in building backend systems with a focus on data processing or analytics is a plus.
• Ability to work collaboratively on technical initiatives and contribute to impactful AI/ML solutions.
• Strong communication skills, with the ability to convey technical concepts to both technical and non-technical audiences.

Benefits

• medical
• dental
• vision
• 401(k)