Senior Machine Learning Engineer

Coinbase

Remote

Quick summary

Work type
Remote
Location
Oakland, CA
Salary
$180,370–$212,200 / yr
Posted
1 day ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $218k
This role $196k
$170k most similar roles pay here $276k

This role pays less than 72% of similar roles. Most pay $184,412–$251,750 — the shaded band above. At the midpoint, this role pays about $196k versus about $218k 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 59 open roles on FindRole.

Listed pay typically runs $193,970–$228,200 across 53 roles with salary data.

Most-posted roles

View all roles at Coinbase

At a glance

TL;DR · Senior Machine Learning Engineer

As an IC5 Machine Learning Engineer on Coinbase’s CX Intelligence team, you will lead the design and implementation of a sophisticated orchestration layer that integrates vendor AI with internal multi-agent systems to provide seamless hybrid chatbot experiences. Your daily tasks include building production-grade Python services that bridge advanced ML research with reliable customer-facing products, managing complex state transitions, and ensuring secure, compliant, and scalable interactions in a distributed environment. You will also mentor engineers on architectural integrity and modern AI/ML patterns while establishing best practices for system design and coding standards. This role requires 5+ years of professional experience in machine learning and software engineering, with expertise in modern AI architectures like LLMs and deep learning frameworks such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock, along with proficiency in Python and a specialized domain knowledge in NLP, information retrieval, computer vision, or advanced statistical modeling.

What you'll do

  • Architect and deploy an orchestration layer for state transitions and context sharing across LLM frameworks.
  • Build production-grade Python services to integrate ML/AI research with customer-facing products reliably.
  • Lead complex ML project execution, managing priorities and technical trade-offs from design through delivery.
  • Establish best practices for system design, coding standards, and AI/ML development workflows in the team.
  • Mentor engineers on architectural integrity and modern AI/ML patterns to raise the technical bar.
  • Conduct design reviews ensuring features meet Coinbase’s security, scalability, and performance standards.

What we're looking for

  • 5+ years of professional experience in machine learning and software engineering.
  • Expertise in modern AI architectures including LLMs and deep learning frameworks.
  • Proficiency in Python with a focus on clean, maintainable, highly-tested production code.
  • Specialized knowledge in NLP, information retrieval, computer vision, or advanced statistical modeling.
  • Ability to write technical design documents and present ML system architectures to stakeholders.
  • Experience leading end-to-end project execution for complex ML initiatives.

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