高级机器学习工程师 - 基础设施/运维 - 欺诈
Senior Machine Learning Engineer - Infra/Ops - Fraud
我们相信，人们与财务的互动方式将在未来几年发生巨大变化。我们致力于通过构建工具和体验来推动这一变革，数千名开发者使用这些工具来创建他们自己的产品。Plaid 为数以百万计的人提供他们依赖的工具，帮助他们过上更健康的财务生活。我们与 Venmo、SoFi、多家财富 500 强公司以及许多大型银行合作，让人们能够轻松地将他们的财务账户连接到他们想要使用的应用和服务中。Plaid 的网络覆盖美国、加拿大、英国和欧洲的 12,000 家金融机构。公司成立于 2013 年，总部位于旧金山，在纽约、西雅图、华盛顿特区、罗利、伦敦和阿姆斯特丹设有办事处。
Plaid 风险团队中的数据团队构建了支持 Plaid 风险检测产品的机器学习系统，利用 Plaid 独特的网络数据来在欺诈发生前识别并阻止欺诈行为。该团队负责完整的 ML 生命周期——从特征管道和模型训练到生产服务和监控——构建可靠且可扩展的系统，随着我们支持数百家客户的增长，持续提供高质量的风险检测。
作为高级机器学习工程师，你将负责开发高性能特征计算和在线推理管道，这些管道支持大规模生产机器学习系统的开发。你将构建强大的可观测性、监控和自动化调试能力，同时利用 AI 辅助工具调查复杂系统行为并保持高可靠性。你将与 ML 基础设施、数据科学和产品团队紧密合作，执行关键的技术项目并交付可扩展的、高影响力的 ML 解决方案。
职责：
- 构建和扩展机器学习系统，支持快速增长的风险检测产品，在快节奏的环境中工作。
- 解决机器学习、数据基础设施和生产可靠性交叉领域的复杂技术挑战。
- 开发基础的 ML 能力，利用 Plaid 庞大的金融网络数据来检测和防止欺诈。
- 与工程师、数据科学家以及 Plaid 内部的跨职能合作伙伴密切合作，交付高影响力的解决方案。
要求：
- 六年以上相关经验，重点在于构建、部署和扩展生产环境的机器学习系统。
- 扎实的 Python 编程技能，熟悉分布式系统设计和实现。
查看英文原文
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam.
The Data team within Plaid’s Fraud organization builds the machine learning systems that power Plaid’s fraud detection products, leveraging Plaid’s unique network data to identify and stop fraud before it happens. The team owns the full ML lifecycle—from feature pipelines and model training to production serving and monitoring—building reliable, scalable systems that deliver high-quality fraud detection as we grow to support hundreds of customers.
As a Senior Machine Learning Engineer, you will own the development of high-performance feature computation and online inference pipelines that power production machine learning systems at scale. You’ll build robust observability, monitoring, and automated debugging capabilities, while leveraging AI-assisted tools to investigate complex system behavior and maintain high reliability. You’ll partner closely with ML Infrastructure, Data Science, and Product teams to execute critical technical initiatives and deliver scalable, high-impact ML solutions.
Responsibilities:
- Build and scale machine learning systems that power a rapidly growing fraud detection product in a fast-paced environment.
- Solve complex technical challenges at the intersection of machine learning, data infrastructure, and production reliability.
- Develop foundational ML capabilities that leverage Plaid’s extensive financial network data to detect and prevent fraud.
- Collaborate closely with engineers, data scientists, and cross-functional partners across Plaid to deliver high-impact solutions.
Qualifications:
- 6+ years of relevant experience, with a strong focus on building, deploying, and scaling production machine learning systems.
- Strong experience with ML infrastructure and operations, including production deployment, monitoring, and reliability.
- Proven ability to independently own and deliver complex, end-to-end machine learning engineering projects.
- Proficiency with Python and experience with ML and data technologies such as PyTorch, Spark, SageMaker, and Airflow.
Nice-to-Have:
- Experience in fraud or risk domains.
- Experience in Graph machine learning.
Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.
Please review our Candidate Privacy Notice here https://plaid.com/legal/#candidate-privacy-notice.
Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.