Staff Machine Learning Engineer, Compliance Automation (Platform)

Coinbase

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$218,025–$256,500 / yr
Posted
1 day ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $226k
This role $237k
$173k $289k
below market most similar roles pay here above market

This role pays more than 55% of similar roles. Most pay $196,423–$254,750 — the blue band above. At the midpoint, this role pays about $237k versus about $226k for comparable roles.

Based on 240 similar postings.

Employer

About Coinbase

Coinbase Global is a publicly traded cryptocurrency exchange platform where consumers can buy, sell, and store digital currencies including Bitcoin, Ethereum, and hundreds of other cryptocurrencies. Industry: Cryptocurrency Exchange & Financial Technology

Coinbase currently has 99 open roles on FindRole.

Listed pay typically runs $186,512–$218,900 across 90 roles with salary data.

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At a glance

TL;DR · Staff Machine Learning Engineer, Compliance Automation (Platform)

As a Staff Machine Learning Engineer on the Compliance Automation team within the Platform group, you will architect and build production Agentic AI systems to automate compliance operations. You will own the machine learning technical direction for compliance agents, making critical decisions on model selection, prompt engineering, grounding strategies, and guardrail design. Your daily work involves building LLM-powered agents, orchestration pipelines, and decision support workflows to replace manual processes with auditable automation. You will utilize Python, LangChain, vector databases, Airflow, and Spark to develop these systems. The role requires deep expertise in retrieval-augmented generation, hallucination reduction, and evaluation frameworks. You will solve complex regulatory problems by translating legal workflows into technical specifications while ensuring all automated outputs remain regulatorily defensible and accurate.

What does a Machine Learning Engineer earn in Remote?

Median $253344 from 42 postings across 13 companies.

See salary data

What you'll do

  • Architect and build production Agentic AI systems and LLM-powered agents to automate compliance processes.
  • Own the ML technical direction for model selection, prompt engineering, grounding strategies, and guardrail design.
  • Design and implement evaluation frameworks to quantify agent performance and detect hallucinations or drift.
  • Translate complex regulatory workflows into technical specifications for automated or human-in-the-loop systems.
  • Partner with Compliance and Legal stakeholders to ensure automated outputs meet regulatory standards.
  • Mentor engineers on ML system design, LLM application patterns, and responsible AI practices.

What we're looking for

  • 8+ years of experience in machine learning and software engineering.
  • Demonstrated experience shipping LLM-based or Agentic AI applications to production.
  • Deep expertise in prompt engineering, RAG, grounding techniques, hallucination reduction, and agent orchestration frameworks.
  • Proven track record building evaluation and measurement systems for ML models in production.
  • Strong Python proficiency with hands-on experience in GenAI frameworks and ML infrastructure like LangChain or Spark.
  • Experience in compliance, regulatory technology, financial crimes, or similarly regulated domains.
  • Ability to translate complex regulatory workflows into automatable technical specifications.
  • Experience mentoring engineers on ML system design and responsible AI practices.

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