Staff Machine Learning Engineer, Compliance Automation – Platform

🔥 6 minutes ago

🇺🇸 United States – Remote

💵 $218k - $256.5k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Coinbase

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

💼 Consulting

₿ Crypto

💸 Finance

💰 $21.4M Post-IPO Equity on 2022-11

Consulting • Crypto • Finance

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

• Architect and build production Agentic AI systems for compliance automation, including LLM-powered agents, orchestration pipelines, and decision support workflows that replace manual compliance processes • Own the ML technical direction for compliance agents, driving model selection, prompt engineering, grounding strategies, and guardrail design for accurate, auditable, and regulatorily defensible outputs • Design and implement evaluation and measurement frameworks to quantify agent performance, detect hallucinations and drift, and provide auditability required by compliance teams and regulators • Partner with Compliance, Legal, and Operations stakeholders to translate complex regulatory workflows into automatable technical specifications • Identify processes suitable for full automation versus human-in-the-loop augmentation • Mentor engineers on ML system design, LLM application patterns, and responsible AI practices

🎯 Requirements

• 8+ years in machine learning and software engineering, with demonstrated experience shipping LLM-based or Agentic AI applications to production • Deep expertise in LLM application development, including prompt engineering, retrieval-augmented generation (RAG), grounding techniques, hallucination reduction, and agent orchestration frameworks • Proven track record building evaluation and measurement systems for ML models in production, including monitoring for drift, accuracy degradation, and output quality at scale • Strong Python proficiency with hands-on experience in GenAI frameworks and ML infrastructure, such as LangChain, vector databases, Airflow, Spark, or equivalent orchestration and data processing tools • Experience in compliance, regulatory technology, financial crimes, or similarly regulated domains where auditability, explainability, and correctness of automated decisions are critical • Responsible use of generative AI, maintaining human oversight to deliver business-ready outputs and measurable workflow improvements • Must be based in the USA

🏖️ Benefits

• Equity eligibility • Bonus eligibility • Medical insurance • Dental insurance • Vision insurance • 401(k) • Quarterly in-person working sessions called “surges”

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