Senior Machine Learning Engineer (Infrastructure/Operations - Fraud)

• 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
• 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

Benefits

• Vibrant offices in SF, NYC, and Raleigh-Durham—with catered meals, happy hours, and clubs to keep you connected
• Competitive pay, comprehensive health benefits, and support for fertility, mental health, and parental leave
• Lifestyle perks including home office stipends, daycare support, and commuting benefits like CitiBike and Lyft- 6+ years of relevant experience, with a strong focus on building, deploying, and scaling production machine learning systems
• Proficiency with Python and experience with ML and data technologies such as PyTorch, Spark, SageMaker, and Airflow
• Proven ability to independently own and deliver complex, end-to-end machine learning engineering projects
• Strong experience with ML infrastructure and operations, including production deployment, monitoring, and reliability
• 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!
• Experience in Graph machine learning
• Experience in fraud or risk domains