Staff Machine Learning Engineer

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 $228k
This role $237k
$174k $289k
below market most similar roles pay here above market

This role pays more than 51% of similar roles. Most pay $200,550–$254,750 — the blue band above. At the midpoint, this role pays about $237k versus about $228k 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 94 open roles on FindRole.

Listed pay typically runs $186,065–$218,900 across 85 roles with salary data.

Most-posted roles

View all roles at Coinbase

At a glance

TL;DR · Staff Machine Learning Engineer

The Staff Machine Learning Engineer joins the CEE Intelligence team to serve as the machine learning and intelligence layer for the customer engagement ecosystem. In this role, you will lead the design and delivery of production ML systems, shaping technical strategy and building scalable intelligence capabilities. You will own end-to-end projects, developing evaluation pipelines and data workflows to power the Help Center, chat, voice, and agent tooling. Key responsibilities include mentoring engineers and establishing standards for design, testing, and observability. You will utilize Python to implement LLMs, deep learning, graph neural networks, gradient-boosted trees, and regression. The work focuses on solving complex customer experience problems by improving resolution quality, automation coverage, safety guardrails, and decisioning capabilities across various customer support runtimes.

What does a Machine Learning Engineer earn in Remote?

Median $237262 from 37 postings across 14 companies.

See salary data

What you'll do

  • Design and deliver production ML systems using LLMs, deep learning, and graph neural networks.
  • Translate strategic vision into quarterly execution plans with measurable outcomes for cross-functional stakeholders.
  • Lead high-impact ML projects end-to-end from initial architecture through production deployment.
  • Build scalable, secure ML systems and data workflows using high-quality, well-tested Python code.
  • Mentor engineers and establish team-wide standards for design, testing, and operational excellence.
  • Drive design reviews for security, responsible AI, model quality, and architectural integrity.
  • Utilize generative AI responsibly to improve workflow efficiency, cost, and output quality.

What we're looking for

  • 8+ years of experience in machine learning and software engineering.
  • Proven success building, scaling, and maintaining production ML systems, data platforms, or analytical services.
  • Hands-on expertise with LLMs, deep learning, graph neural networks, gradient-boosted trees, or regression.
  • Strong knowledge of NLP, information retrieval, data mining, or advanced statistics.
  • Strong Python skills with the ability to write maintainable, highly tested production code for ML services.
  • Experience mentoring engineers and raising technical standards across a team or organization.
  • Experience leading design reviews and influencing technical and non-technical stakeholders.
  • Ability to utilize generative AI responsibly while maintaining human oversight to deliver business-ready outputs.

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