Machine Learning Engineer, Risk AI/ML

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November 12

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Coinbase

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Crypto • Finance • Fintech

Coinbase is a leading cryptocurrency exchange platform that allows individuals and institutions to buy, sell, and trade various crypto assets such as Bitcoin and Ethereum. The company offers advanced trading tools, institutional solutions, and a self-hosted wallet for storing and managing cryptocurrencies. With a strong focus on security and transparency, Coinbase provides a trusted platform used by millions globally. It supports various features including staking, earning rewards, and spending crypto through their cards. Additionally, Coinbase provides developer tools and APIs for building onchain applications, making it a comprehensive hub for engaging in the crypto economy.

1001 - 5000 employees

Founded 2012

₿ Crypto

💸 Finance

💳 Fintech

💰 $21.4M Post-IPO Equity on 2022-11

📋 Description

• 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. • 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).

🎯 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. • 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). • 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

• Bonus eligibility • Equity eligibility • Benefits (including medical, dental, and vision)