Senior Machine Learning Engineer - Embedded Insights

Plaid
New York, Seattle, San Francisco
Workplace: HybridFull timeUSD 228,960 - 315,360 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsEducation: mastersSkills: ["Communication","Problem-solving","High agency"]

Build and productionize machine learning-powered features for a 0-to-1 consumer-facing product. Collaborate with product managers, data scientists, engineers, and other MLEs to translate ambiguous opportunities into measurable ML systems. Analyze large financial datasets, run proofs of concept, deploy models in real-world experiences, and keep systems healthy with new features, retraining cadences, and monitoring via metrics, alerts, and dashboards.

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Plaid
Plaid
14 hours ago

Senior Machine Learning Engineer - Embedded Insights

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

Job Summary

Build and productionize machine learning-powered features for a 0-to-1 consumer-facing product. Collaborate with product managers, data scientists, engineers, and other MLEs to translate ambiguous opportunities into measurable ML systems. Analyze large financial datasets, run proofs of concept, deploy models in real-world experiences, and keep systems healthy with new features, retraining cadences, and monitoring via metrics, alerts, and dashboards.
Location: New York, Seattle, San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build machine learning-based features for a 0-to-1 consumer-facing product.
  • •Translate ambiguous business requirements into ML problems and influence product strategy and roadmap decisions.
  • •Rapidly iterate and experiment to help drive product-market fit for a new business line.
  • •Define success metrics and guardrails for new ML features with Data Scientists.
  • •Analyze datasets to identify ML opportunities, productionize models, and maintain model health using metrics, alerts, and dashboards.

Pay and Benefits

Salary: USD 228,960 - 315,360 annually
Perks:Health InsuranceDentalVision401k

Key Requirements

  • •6+ years of machine learning experience, including deploying models into customer-facing systems.
  • •Proficiency in SQL and Python, plus data visualization and analysis tools.
  • •Experience taking ML systems from experimentation or proof of concept through production and ongoing improvement.
  • •Ability to analyze large and complex financial datasets and derive actionable insights.
  • •Advanced degree or equivalent work experience in Statistics, Economics, Mathematics, Data Science, or a related field.
Experience:6+ yearsMachine learningFinancial servicesConsumer-facing products
Education:Master's in Statistics, Economics, Mathematics, Data Science, or a related field
Skills:CommunicationProblem-solvingHigh agency
Tech Stack:SQLPython

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