资深机器学习工程师(平台 - 身份)
Staff Machine Learning Engineer(Platform - Identity)
准备开展职业生涯中最有影响力的工作吗？在 Coinbase，我们对提升经济自由的使命毫不妥协。标准很高，环境紧张，我们喜欢这样。这里不是安于现状的地方，而是让你突破自我认知极限的地方。如果你准备好与那些不愿满足于“足够好”的人一起打造金融的未来，你就在正确的地方。Coinbase 是以远程优先的公司，但并非完全远程。期待每季度进行高强度的线下工作集会，称为“冲刺”。
高级机器学习工程师，身份验证
作为平台组身份验证团队的高级机器学习工程师，你将负责决定一个人、文件和采集会话是否合法的机器学习系统。Coinbase 每次注册、账户恢复和高风险操作都依赖这些模型。你将负责 IDV 机器学习端到端的技术战略，从架构到生产执行，保护数百万账户的完整性。
你将负责：
- 负责完整的 IDV 机器学习栈，包括文件真实性模型、1:1 和 1:N 人脸匹配、活体检测、展示攻击检测以及从特征管道到阈值调整和生产执行的深度伪造/注入检测。
- 使用 GNN 构建身份图系统，对共享生物特征、设备和文件信号的账户进行聚类，以在注册时检测合成身份圈和协调欺诈。
- 开发行为和设备智能模型，用于采集会话异常检测、机器人与人类分类以及基于设备指纹的风险评分，实现实时延迟。
- 通过将外部模型与 Coinbase 自有评估集进行基准测试，设计跨供应商和地区的动态路由逻辑，并构建内部评估层，在问题影响用户前捕捉回归问题，推动供应商机器学习策略。
- 在小组中领导和指导高级和中级工程师，同时与 ML 平台和风险 ML 团队合作，统一公司范围内的机器学习系统设计。
所需技能和经验：
- 8 年以上在大规模部署生产机器学习系统的经验，具有跨团队机器学习架构从设计到生产的实际技术领导经验。
- 在身份验证、生物识别或账户完整性领域有经验，至少在以下两个领域有深入的应用机器学习经验：计算机视觉/生物识别、GNNs、
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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.