Staff Machine Learning Engineer - Platform

February 22

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Coinbase

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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.

Digital Currency • Software • Payment Processing • Bitcoin • Technology

1001 - 5000 employees

Founded 2012

₿ Crypto

💸 Finance

💳 Fintech

💰 $21.4M Post-IPO Equity on 2022-11

📋 Description

• Ready to be pushed beyond what you think you’re capable of? • At Coinbase, our mission is to increase economic freedom in the world. • To achieve our mission, we’re seeking a very specific candidate. • We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. • We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. • We are transforming traditional tasks such as manual document review and risk assessment into an automated, scalable system powered by state-of-the-art machine learning. • We are hiring a Staff Machine Learning Engineer to revolutionize how we optimize our operations using ML and GenAI. • This is a unique opportunity to apply the latest advances in ML and GenAI to real-world problems that directly impact millions of users and the future of digital finance.

🎯 Requirements

• 8+ years of industry experience in Machine Learning (or PhD+5) • MS in Machine Learning, Computer Science, other technical field (PhD preferred) • Strong developer experience with ability to leverage auto-code generation techniques for ML and scalable distributed applications. • Strong foundation in modern ML techniques (DNNs, transformers, LLMs, classification) • Experience building and deploying production ML systems at scale. • Ability to balance ML model complexity with production requirements • Strong communication skills to work effectively with domain experts • Background in fraud detection or risk modeling • Familiarity with regulatory requirements in financial services • Knowledge of crypto/blockchain technology

🏖️ Benefits

• target bonus • target equity • medical • dental • vision • 401(k)