Staff Machine Learning Engineer(Platform - Identity)

Posted Yesterday
Easy Apply
Hiring Remotely in USA
Remote
218K-257K Annually
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Coinbase is on a mission to increase economic freedom for more than 1 billion people.
The Role
Lead end-to-end ML systems for identity verification, including document authenticity, face match, liveness and deepfake detection. Build GNN-based identity graphs, behavioral/device-intelligence models, vendor benchmarking/evaluation, and production enforcement. Mentor engineers and align ML architecture with Product, Compliance, Risk, and Security stakeholders.
Summary Generated by Built In

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)). 


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.

Skills Required

  • 8+ years deploying production ML systems at scale, owning cross-team ML architecture from design through production.
  • Domain experience in identity verification, biometrics, or account integrity with applied ML in at least two areas (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.
  • Experience utilizing generative AI responsibly with human oversight to produce business-ready outputs and measurable workflow improvements.
  • Proven leadership mentoring senior and mid-level engineers and collaborating across ML Platform and Risk ML teams.

What the Team is Saying

Jona Frank
Wes Janisen
Sofia Sieminski
Philip Temitayo
Varsha Mahadevan

Coinbase Compensation & Benefits Highlights

How does Coinbase ensure its pay and bonus plans are competitive?

Coinbase uses a market-driven, pay-for-performance approach to keep pay and bonus plans competitive. Coinbase regularly benchmarks roles against leading technology and fintech companies using external market data and reviews its compensation programs on a recurring basis to ensure salary, bonus, and equity remain aligned with the broader market and business goals. Annual bonus and equity programs are tied to both company results and individual impact, so when Coinbase and its people perform, total rewards reflect that performance.

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The Company
4,700 Employees
Year Founded: 2012

What We Do

Crypto creates economic freedom by ensuring that people can participate fairly in the economy, and Coinbase (NASDAQ: COIN) is on a mission to increase economic freedom for more than 1 billion people. We’re updating the century-old financial system by providing a trusted platform that makes it easy for people and institutions to engage with crypto assets, including trading, staking, safekeeping, spending, and fast, free global transfers. We also provide critical infrastructure for onchain activity and support builders who share our vision that onchain is the new online. And together with the crypto community, we advocate for responsible rules to make the benefits of crypto available around the world.

Why Work With Us

We have the opportunity to accelerate the pace of innovation in the world by building an open financial system. Our vision is to create more economic freedom in the world, to help people control their own wealth, start companies, have financial privacy, and participate in the global economy. And to get us there, we focus, build and move as a team.

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Employees work remotely.

Coinbase is remote-first, which enables us to innovate, build and move quickly. Our teams are able to work effectively from around the globe with time for in-person offsites and team meetups to enhance collaboration and connection.

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