Staff Machine Learning Engineer (Platform - Identity)

📍 United States

USD 218,000-256,500 per year

SENIOR

✅ Remote

Tech Stack
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.

AI @ 4 AML @ 4 Compliance @ 4 Computer Vision @ 4 Fraud @ 4 GenAI Generative AI @ 4 KYC @ 4 LLM Leadership @ 7 Machine Learning NLP @ 4 PyTorch @ 4 Python @ 4 Security @ 4 Technical Leadership @ 7 TensorFlow @ 4

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.