Own the ML systems for identity verification at Coinbase, leading technical strategy and mentoring engineers in a remote-first environment.
Posted by employer 1 day ago
First seen on Joblaze 22 hours ago
Last verified on the company career page 22 hours ago
Skills & Technologies
What you'll build
- Own the full IDV ML stack
- Build identity-graph systems using GNNs
- Develop behavioral and device-intelligence models
- Drive vendor ML strategy
- Lead and mentor senior and mid-level engineers
Must have
- 8+ years deploying production ML systems
- Domain experience in identity verification or biometrics
- Expert-level Python with production experience in TensorFlow or PyTorch
- Track record translating KYC/AML requirements into ML roadmaps
- Utilizes generative AI responsibly
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 on the Identity Verification team at Coinbase, the individual will manage the entire machine learning stack for identity verification, ensuring the legitimacy of users and documents. Key skills include extensive experience in deploying ML systems, particularly in identity verification and biometrics, with proficiency in Python and frameworks like TensorFlow or PyTorch. This position is suited for seasoned professionals with a strong technical background and leadership experience, particularly those familiar with KYC/AML requirements. The team operates in a high-pressure environment that emphasizes collaboration and innovation.
Joblaze insights
- Listed today — first seen on Joblaze September 18, 2026. Last confirmed on Coinbase's careers page September 18, 2026.
- This exact title is also open at 1 other location at Coinbase: Remote - USA.
- Salary band is above the typical range for AI/ML roles (median ~$188,000).
- Starts above 45% of 100 comparable staff ai/ml roles in United States that list Python we track (median $222,000 across 42 companies). See Python salary trends
- Python appears in 52.2% of 251 comparable staff ai/ml roles in United States; GNNs appears in 0.4% of 251 comparable staff ai/ml roles in United States.
Quick facts
- Is the Staff Machine Learning Engineer(Platform - Identity) 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(Platform - Identity) role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Computer Vision, GNNs, NLP, PyTorch, Python, TensorFlow.
- 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(Platform - Identity) 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, Identity Verification
As a Staff Machine Learning Engineer on the Identity Verification team within the Platform group, you'll own the ML systems that determine whether a person, document, and capture session are legitimate. Every signup, account recovery, and high-risk action at Coinbase depends on these models. You'll lead the technical strategy for IDV ML end-to-end, from architecture through production enforcement, protecting the integrity of millions of accounts.
What you'll do:
- Own the full IDV ML stack, including document authenticity models, 1:1 and 1:N face-match, liveness detection, presentation-attack detection, and deepfake/injection detection from feature pipeline through threshold tuning and production enforcement.
- Build identity-graph systems using GNNs that cluster accounts sharing biometric, device, and document signals to detect synthetic-identity rings and coordinated fraud at onboarding.
- Develop behavioral and device-intelligence models for capture-session anomaly detection, bot-vs-human classification, and device-fingerprint-based risk scoring at real-time latency.
- Drive vendor ML strategy by benchmarking external models against a Coinbase-owned evaluation set, designing dynamic routing logic across providers and geographies, and building the in-house evaluation layer that catches regressions before they reach users.
- Lead and mentor senior and mid-level engineers in the pod while partnering with ML Platform and Risk ML teams to align cross-company ML system design.
Required Skills and Experience:
- 8+ years deploying production ML systems at scale, with proven technical leadership owning cross-team ML architecture from design through production.
- Domain experience in identity verification, biometrics, or account integrity with deep applied ML in at least two of: computer vision/biometrics, GNNs, sequence models, or NLP/LLMs.
- Expert-level Python with production experience in TensorFlow or PyTorch, including model training, evaluation, and serving infrastructure.
- Track record translating KYC/AML requirements and fraud trends into ML roadmaps and communicating trade-offs to Product, Compliance, Risk, and Security stakeholders.
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
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.