Machine Learning Engineer

Stripe
Toronto
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["High ownership","Collaboration","Bias towards action","Comfort with ambiguity","Driving impact"]

Build and deploy machine learning systems that improve how users interact with Stripe. You’ll analyze opportunities, develop pipelines for offline/online training and evaluation, run experiments, and integrate ML models into production with scalability and reliability in mind. Collaborate with product and strategy partners to propose and deliver new features, while using the latest LLM techniques—including fine-tuning—to drive model quality and performance over time.

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Stripe
Stripe
1 month ago

Machine Learning Engineer

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Last checked: 17 hours agoStatus: Live

Job Summary

Build and deploy machine learning systems that improve how users interact with Stripe. You’ll analyze opportunities, develop pipelines for offline/online training and evaluation, run experiments, and integrate ML models into production with scalability and reliability in mind. Collaborate with product and strategy partners to propose and deliver new features, while using the latest LLM techniques—including fine-tuning—to drive model quality and performance over time.
Location: Toronto
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Analyze opportunities and propose ideas for ML-driven improvements to Stripe’s products.
  • •Train, evaluate, and experiment with ML models, including integrating LLM fine-tuning.
  • •Develop pipelines and automated processes for offline and online model training/evaluation.
  • •Integrate ML models into production systems, ensuring scalability and reliability.
  • •Collaborate with product and strategy partners to implement new product features and improve user experience.

Key Requirements

  • •At least 3 years of experience shipping ML systems in production.
  • •Maintain a high bar for work involving production systems.
  • •Take ownership and drive projects to business impact.
  • •Thrive in a collaborative environment.
  • •Experience operating in ambiguous environments and knowledge about driving hypotheses from data.
Experience:3+ years
Skills:High ownershipCollaborationBias towards actionComfort with ambiguityDriving impact
Languages:English
Tech Stack:Machine learningML modelsLLMsFine-tuningStreaming feature pipelinesOffline evaluationOnline evaluationExperimentsProduction systemsAutomated pipelines

Company Brief

Stripe
Provides payment processing APIs and financial infrastructure for internet businesses. Powers online payments for millions of companies from startups to Fortune 500s.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Decacorn (USD 10B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2010
Glassdoor
Glassdoor: 4.2
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