Staff Machine Learning Engineer – Risk AI/ML

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November 18

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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

• Own a Critical Risk Domain: Take full technical ownership of a core problem space, such as Scams or Account Takeover. You will design, build, and lead the strategy for all models in this domain • Architect and Design Systems: Lead the system design and architecture for new, complex, cross-team risk detection models. This includes everything from feature pipeline design to model selection (e.g., GNNs, LSTMs, LLMs) and high-performance serving • Drive the Technical Roadmap: You will be the primary technical voice influencing at an organizational level. Work with Product, Ops, and other stakeholders to translate ambiguous business needs into a clear technical roadmap. You will be the primary technical voice defining the "how." • Mentor and Lead: Act as a senior technical leader and mentor for other senior (IC5), mid-level, and junior engineers on the team • Apply Advanced ML: 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 • Build Context-Aware Risk Systems: Architect the adaptive logic that decides which friction (a quiz, an LLM agent, a human review) to apply to which user, balancing security with user experience

🎯 Requirements

• 8-10+ years of professional experience in software engineering and/or AI/ML • Proven track record of technical leadership, including leading small teams or pods and designing and deploying large-scale, cross-team ML systems from scratch • 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 • Deep expertise in applied AI/ML techniques (e.g., Risk ML, deep learning, NLP, recommender systems, anomaly detection); with required prior domain experience in Payment Risk, Credit Risk, or Identity Risk / Account Takeover / Scams • Expert-level coding skills (e.g., Python) and deep experience with 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

• bonus eligibility • equity eligibility • benefits (including medical, dental, vision and 401(k))