- Job type
- Full-time
- Work mode
- Hybrid
- Level
- Senior
- Department
- Data and Analytics
- Experience
- 6+ years experience
- Posted
- Sep 12, 2026
About the role
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!
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.