Staff Machine Learning Engineer, Compliance Automation (Platform)
"What You'll Be Doing"
What You'll Be Doing
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 to keep agent outputs accurate, auditable, and defensible from a regulatory standpoint
Design and implement evaluation and measurement frameworks that quantify agent performance, detect hallucinations and drift, and provide the auditability compliance teams and regulators require
Partner with Compliance, Legal, and Operations stakeholders to translate complex regulatory workflows into automatable technical specifications, determining which processes are candidates for full automation versus human-in-the-loop augmentation
Mentor engineers on ML system design, LLM application patterns, and responsible AI practices, raising the team's technical bar for production AI systems
What We're Looking For
8+ years of experience in machine learning and software engineering, with a demonstrated track record of 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 experience 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
A track record of using generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality
About Base
Base is a secure, low-cost, builder-friendly Ethereum L2 built to bring the next billion users onchain. Built on the open-source OP Stack by Coinbase.
Ready to Apply?
To submit your application for this position, please visit Base's official website and follow their application process.