Machine Learning Engineer

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Coinbase

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

₿ Crypto

💸 Finance

💳 Fintech

💰 $21.4M Post-IPO Equity on 2022-11

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.

📋 Description

• Build and improve the orchestration layer that manages state transitions, context sharing, and intent routing across vendor and internal LLM frameworks in a distributed conversational environment. • Develop production-grade Python services that bridge advanced AI and ML capabilities with reliable customer-facing products. • Drive well-scoped ML projects from design through delivery, balancing technical trade-offs and collaborating across teams. • Contribute to system design, coding standards, and AI/ML development best practices across the team. • Partner with engineers and cross-functional stakeholders to build secure, scalable, and high-performing AI-enabled experiences. • Participate in design reviews and help ensure features meet Coinbase standards for security, compliance, and performance.

🎯 Requirements

• 2+ years of professional experience in machine learning and software engineering, with experience shipping production-grade ML services. • Hands-on experience building with modern AI architectures such as LLMs and deep learning, and familiarity with tools such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock. • Strong proficiency in Python and the ability to write clean, maintainable, well-tested production code. • Working knowledge in at least one domain such as NLP, information retrieval, computer vision, or statistical modeling. • Ability to write technical design documents and communicate ML system designs clearly to cross-functional stakeholders. • Uses generative AI responsibly, applying human oversight to deliver business-ready outputs and measurable improvements in efficiency, cost, and quality.

🏖️ Benefits

• Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).