Staff Machine Learning Engineer
Remote - USA
- 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.
Read the full posting- 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 postingOwn 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
Tools in this posting
- Python
Source — Tool mentions in context
- 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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 10, 2026 · 19 days ago
- Recorded sightings
- 59
- Last seen by us
- Oct 28, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on www.coinbase.com. The employer’s form will show what is required.
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Job description
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
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.
- 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)).
- 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.
Source details
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- Pay
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.
- Location & working pattern
Remote - USA
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
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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