资深机器学习工程师（平台 - 身份）
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Staff Machine Learning Engineer(Platform - Identity)Coinbase · Remote - USA · From 401
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职位描述
机器翻译准备好在你的职业生涯中做出最有影响力的工作了吗？在 Coinbase，我们对增加经济自由的使命毫不妥协。标准很高，环境很紧张，而我们喜欢这样。这里不适合自满的人，这是一个让你被推过自认为极限的地方。如果你准备好与那些拒绝满足于“足够好”的人一起构建金融的未来，这里就是你的归属。Coinbase 是一家远程优先、但并非仅限远程的公司。预计每季度会聚在一起进行名为“surges”的高强度线下工作会议。了解更多关于在 Coinbase 工作的信息。
身份验证方向 Staff 机器学习工程师
作为 Platform 集团内身份验证团队的一名 Staff 机器学习工程师，你将负责决定一个人、一份文件和一次采集会话是否合法的 ML 系统。Coinbase 的每一次注册、账户恢复和高风险操作都依赖这些模型。你将端到端领导 IDV ML 的技术战略，从架构到生产环境执行，保护数百万账户的完整性。
岗位职责
• 负责完整的 IDV ML 技术栈，包括文件真实性模型、1:1 和 1:N 人脸比对、活体检测、呈现攻击检测以及深度伪造/注入检测，从特征管道到阈值调优和生产环境执行。
• 使用 GNN 构建身份图谱系统，对共享生物特征、设备和文件信号的账户进行聚类，以在注册阶段检测合成身份团伙和协同欺诈。
• 开发行为和设备智能模型，用于采集会话异常检测、机器人对真人分类，以及基于设备指纹的实时低延迟风险评分。
• 推动供应商 ML 战略，通过以 Coinbase 自有的评估集对外部模型进行基准测试，设计跨供应商和地区的动态路由逻辑，并构建内部评估层，在回归影响用户之前将其捕获。
• 领导和指导小组内的高级和中级工程师，同时与 ML Platform 和 Risk ML 团队合作，协调跨公司的 ML 系统设计。
所需技能和经验：
• 8 年以上大规模部署生产 ML 系统的经验，并具备从设计到生产负责跨团队 ML 架构的成熟技术领导能力。
• 在身份验证、生物识别或账户完整性领域拥有领域经验，并在以下至少两个方向具备深度应用 ML 能力：计算机视觉/生物识别、GNN、序列模型或 NLP/LLM。
• 专家级 Python，并具备 TensorFlow 或 PyTorch 的生产经验，包括模型训练、评估和服务基础设施。
• 有将 KYC/AML 要求和欺诈趋势转化为 ML 路线图，并向产品、合规、风险和安全利益相关方沟通权衡的过往记录。
• 负责任地使用生成式 AI，保持人工监督以交付可投入业务的成果，并推动工作流效率、成本和质量的可衡量改进。
薪酬透明度说明：基本薪资因地点而异（见下方范围）。总薪酬还可能包括股权和奖金资格，以及福利（医疗、牙科、视力、401(k)）。
年度基本薪资范围（不包括股权和奖金）： $218,025 — $256,500 USD
• 申请限制：候选人在 6 个月期间最多可提交 3 份申请。
• 平等机会雇主：Coinbase 是平等机会雇主。所有合格申请人都会获得录用考虑，不因种族、肤色、宗教、性别、性取向、性别认同、国籍、残疾、受保护退伍军人身份或遗传信息而受到歧视。有犯罪历史的申请人将根据适用的联邦、州和地方法律予以考虑。
• 美国申请人：查看 Employee Rights、Know Your Rights 和 E-Verify Notice of Participation。
• 便利安排：如果你是残障人士且需要合理便利安排，请将你的请求和联系信息发送至 accommodations[at]coinbase.com。需要屏幕阅读技术？点击此处下载免费的兼容屏幕阅读器并查看教程。
• 数据隐私与仲裁：提交申请即表示你同意我们的 Candidate Privacy Notice。美国申请人：提交申请即表示你同意 Arbitration of Disputes。
以上内容由机器翻译自动生成，可能存在错误；投递前请以雇主原文为准。
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职位描述
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.
岗位职责
• 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 .