Used Tools & Technologies
Machine Learning LLM GenAIRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 4
Python @ 4
TensorFlow @ 4
Leadership @ 7
Technical Leadership @ 7
Fraud @ 4
NLP @ 4
KYC @ 4
AML @ 4
PyTorch @ 4
Compliance @ 4
Generative AI @ 4
AI @ 4
Computer Vision @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Ready to do the most impactful work of your career? At Coinbase, the team is uncompromising on its mission to increase economic freedom. Coinbase is a remote-first (but not remote-only) company; expect quarterly in-person working sessions called “surges.”
Responsibilities
- Own the full identity verification (IDV) ML stack: document authenticity models, 1:1 and 1:N face-match, liveness detection, presentation-attack detection, and deepfake/injection detection from feature pipelines through threshold tuning and production enforcement.
- Build identity-graph systems using graph neural networks (GNNs) to 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: benchmark external models against Coinbase-owned evaluation sets, design dynamic routing logic across providers/geographies, and build in-house evaluation layers to catch regressions before they reach users.
- Lead and mentor senior and mid-level engineers; partner with ML Platform and Risk ML teams to align cross-company ML system design and production practices.
Requirements
- 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.
- Responsible use of generative AI: maintain human oversight and deliver business-ready outputs that improve workflow efficiency, cost, and quality.
Compensation and Benefits
- Annual base salary range (excluding equity and bonus): $218,025 — $256,500 USD.
- Total compensation may also include equity, bonus eligibility, and benefits (medical, dental, vision, 401(k)).
Other Details
- Application limit: candidates may submit a maximum of 3 applications within a 6-month period.
- Equal Opportunity Employer statement and US-specific notices (Employee Rights, Know Your Rights, E-Verify) included.
- Accommodations: applicants with disabilities can request reasonable accommodation via the provided email.
- AI disclosure: Coinbase is piloting AI tools for initial screening interviews and interview intelligence; Coinbase will not use AI to make employment decisions.