Lead the design and delivery of production ML systems to enhance customer experience at Coinbase.
Posted by employer 1 day ago
First seen on Joblaze 14 hours ago
Last verified on the company career page 14 hours ago
Skills & Technologies
What you'll build
- Own the design and delivery of production ML systems
- Partner with leadership to define strategic roadmaps
- Lead high-impact ML projects end-to-end
- Build scalable, secure, and reliable ML systems
- Drive design reviews covering security and model quality
Must have
- 8+ years of experience in machine learning and software engineering
- Hands-on expertise with LLMs, deep learning, or graph neural networks
- Strong Python skills for maintainable production code
- Experience mentoring engineers
- Utilizes generative AI responsibly
Practical constraints
- Candidates may submit a maximum of 3 applications within a 6-month period
Role intensity
40% coding
AI in the day-to-day
Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs.
Requirements
- Experience
- 8+ years
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In the role of Staff Machine Learning Engineer at Coinbase, the individual will lead the design and implementation of production ML systems that enhance customer engagement and support. Key skills include expertise in LLMs, deep learning, and Python, with a focus on building scalable and reliable ML solutions. This position is suited for seasoned professionals with over eight years of experience in machine learning and software engineering, particularly those who have a track record of mentoring and influencing technical standards within teams.
Joblaze insights
- Listed today — first seen on Joblaze October 11, 2026. Last confirmed on Coinbase's careers page October 11, 2026.
- Salary band is above the typical range for AI/ML roles (median ~$190,000).
- Starts above 43% of 109 comparable staff ai/ml roles in United States that list Python we track (median $224,000 across 43 companies). See Python salary trends
- Python appears in 51.2% of 287 comparable staff ai/ml roles in United States; Information Retrieval appears in 0.7% of 287 comparable staff ai/ml roles in United States.
Quick facts
- Is the Staff Machine Learning Engineer role remote?
- Yes — Coinbase lists this as a fully remote position.
- What's the salary range?
- Coinbase lists $218,025–$256,500 for this role.
- How much experience is required?
- At least 8 years of relevant experience for this Staff Machine Learning Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Deep Learning, Graph Neural Networks, Information Retrieval, LLMs, NLP, Python.
- What seniority level is this role?
- Coinbase targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff Machine Learning Engineer role at Coinbase.
From the 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
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.
Standard company text repeated across Coinbase's postings is omitted here.