Senior Machine Learning Engineer - Infra/Ops - Fraud

Plaid
New York, Seattle, San Francisco
Workplace: HybridFull timeUSD 228,960 - 315,360 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsSkills: ["Independent ownership","Cross-functional collaboration"]

Own the development of high-performance feature computation and online inference pipelines that power production fraud detection at scale. Build observability, monitoring, and automated debugging capabilities to maintain reliability, and use AI-assisted tools to investigate complex system behavior. Partner with ML Infrastructure, Data Science, and Product teams to execute critical initiatives using Plaid’s fraud network data, supporting rapid growth and hundreds of customers.

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Plaid
Plaid
2 hours ago

Senior Machine Learning Engineer - Infra/Ops - Fraud

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Own the development of high-performance feature computation and online inference pipelines that power production fraud detection at scale. Build observability, monitoring, and automated debugging capabilities to maintain reliability, and use AI-assisted tools to investigate complex system behavior. Partner with ML Infrastructure, Data Science, and Product teams to execute critical initiatives using Plaid’s fraud network data, supporting rapid growth and hundreds of customers.
Location: New York, Seattle, San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build and scale machine learning systems that power a rapidly growing fraud detection product.
  • •Develop feature computation and online inference pipelines for production ML at scale.
  • •Create observability, monitoring, and automated debugging capabilities to maintain high reliability.
  • •Solve complex problems across machine learning, data infrastructure, and production reliability.
  • •Partner with ML Infrastructure, Data Science, and Product teams to deliver scalable, high-impact ML solutions.

Pay and Benefits

Salary: USD 228,960 - 315,360 annually
Equity and Bonus:Equity
Perks:MedicalDentalVision401k

Key Requirements

  • •6+ years of experience building, deploying, and scaling production machine learning systems.
  • •Strong experience with ML infrastructure and operations, including production deployment, monitoring, and reliability.
  • •Ability to independently own and deliver complex, end-to-end machine learning engineering projects.
  • •Proficiency with Python and experience with ML/data technologies such as PyTorch, Spark, SageMaker, and Airflow.
Experience:6+ yearsFraudRisk
Skills:Independent ownershipCross-functional collaboration
Tech Stack:PythonPyTorchSparkSageMakerAirflowGraph machine learning

Company Brief

Plaid
Provides APIs that enable applications to connect with users’ bank accounts, verify financial data, and power payment and account verification workflows for fintechs and financial services companies.
Industry: Fintech Infrastructure
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series D
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn