Coinbase

Staff Machine Learning Engineer

Remote - USA

Live, first seen by us 25 days ago

Pay: USD 218,025–256,500/year · BaseExcludes bonus, equity — pay source
Annual base salary range (excluding equity and bonus): $218,025—$256,500 USD Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.
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Work setting: Working pattern needs review — work setting source
Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Staff Machine Learning Engineer, CX Intelligence
Listed location: Remote - USA
Read the full posting
Employment: Not stated

What you’ll work on

Full posting

Own design and delivery of production ML systems using LLMs, deep learning, and graph neural networks
Lead high-impact ML projects end-to-end, from architecture through production
Build scalable, tested Python ML services, evaluation pipelines, and data workflows
Mentor engineers and set team-wide standards for design, testing, and observability
Drive design reviews covering security, responsible AI, and model quality

From the employer’s posting

Own the design and delivery of production ML systems, applying LLMs, deep learning, graph neural networks, and classical ML techniques

Lead high-impact ML projects end-to-end, from architecture through production

Build scalable, secure, and reliable ML systems, evaluation pipelines, and data workflows using high-quality, well-tested Python code.

Mentor engineers and establish team-wide standards for design, testing, observability, and operational excellence.

Drive design reviews covering security, responsible AI, model quality, and architectural integrity

Apply at Coinbase

Posting record

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Status in our records: Live
First seen by us: Oct 10, 202625 days ago
Recorded sightings: 66
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$218K–$257K against $166K–$240K, the middle half of what similar US postings state.

From 1,279 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 25

Similar jobs usually come down between day 6 and day 69.

From 4,347 similar postings that came down. Coming down is not always a hire.

Coinbase is hiring

25 open jobs

Open jobs by the week we first saw them, last 12 weeks.

ML Engineer hiring is picking up
Takes jobs down at a usual pace

Hiring record

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Python

Where the posting names them

- Lead high-impact ML projects end-to-end, from architecture through production, managing priorities, risks, and dependencies. - Build scalable, secure, and reliable ML systems, evaluation pipelines, and data workflows using high-quality, well-tested Python code. - Mentor engineers and establish team-wide standards for design, testing, observability, and operational excellence.

- Hands-on expertise with one or more of LLMs, deep learning, graph neural networks, gradient-boosted trees, or regression, combined with strong knowledge of NLP, information retrieval, data mining, or advanced statistics. - Strong Python skills with demonstrated ability to write maintainable, highly tested production code for ML services. - Experience mentoring engineers and raising technical standards across a team or organization, including leading design reviews and influencing technical and non-technical stakeholders.

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About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.

Staff Machine Learning Engineer, CX Intelligence

CEE Intelligence (CEEI) is the ML and intelligence layer for Coinbase's customer engagement ecosystem, building customer intelligence, evaluation systems, routing and classification models, safety guardrails, and decisioning capabilities that power Help Center, chat, voice, agent tooling, and other customer support runtimes. As a Staff Machine Learning Engineer, you'll lead the design and delivery of production ML systems across the org, shaping technical strategy, building scalable intelligence capabilities, and partnering with product and engineering stakeholders to improve resolution quality, automation coverage, safety, and customer experience.

What you'll do:

Own the design and delivery of production ML systems, applying LLMs, deep learning, graph neural networks, and classical ML techniques to solve complex customer experience problems.
Partner with leadership and cross-functional stakeholders to define strategic roadmaps and translate vision into quarterly execution plans with measurable outcomes.
Lead high-impact ML projects end-to-end, from architecture through production, managing priorities, risks, and dependencies.
Build scalable, secure, and reliable ML systems, evaluation pipelines, and data workflows using high-quality, well-tested Python code.
Mentor engineers and establish team-wide standards for design, testing, observability, and operational excellence.
Drive design reviews covering security, responsible AI, model quality, and architectural integrity, improving reliability, scalability, and latency across the stack.

Required Skills and Experience:

8+ years of experience in machine learning and software engineering, with proven success building, scaling, and maintaining production ML systems, data platforms, or analytical services.
Hands-on expertise with one or more of LLMs, deep learning, graph neural networks, gradient-boosted trees, or regression, combined with strong knowledge of NLP, information retrieval, data mining, or advanced statistics.
Strong Python skills with demonstrated ability to write maintainable, highly tested production code for ML services.
Experience mentoring engineers and raising technical standards across a team or organization, including leading design reviews and influencing technical and non-technical stakeholders.
Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Job #: P77568

Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).

Annual base salary range (excluding equity and bonus):

$218,025—$256,500 USD

Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.
Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.
US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.
Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial.
Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.

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