Software Engineer, Machine Learning Infrastructure

Stripe
Toronto
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 2+ yearsSkills: ["Pragmatism","Problem-solving","Collaboration","Learning mindset","Ownership"]

Build scalable, reliable, and secure ML infrastructure that powers notebooks, ML training, experimentation, model serving, and LLM application workflows across regions. Partner with machine learning engineers, data scientists, and product engineering teams to improve development velocity and MLOps maturity, and create services and libraries that streamline the move from experimentation to production. Own solutions to technical and product challenges to raise daily productivity.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Stripe
Stripe
1 month ago

Software Engineer, Machine Learning Infrastructure

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live
Reposted: similar role first listed 1 year ago

Job Summary

Build scalable, reliable, and secure ML infrastructure that powers notebooks, ML training, experimentation, model serving, and LLM application workflows across regions. Partner with machine learning engineers, data scientists, and product engineering teams to improve development velocity and MLOps maturity, and create services and libraries that streamline the move from experimentation to production. Own solutions to technical and product challenges to raise daily productivity.
Location: Toronto
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and build scalable, reliable, and secure services for notebooks, ML model training, experimentation, serving, and LLM applications across multiple regions.
  • •Create services and libraries that help ML engineers transition from experimentation to production across Stripe’s systems.
  • •Work directly with product teams and ML engineers to improve day-to-day productivity.
  • •Own technical and product challenges and find solutions across diverse systems, processes, and technologies.

Key Requirements

  • •2+ years of professional software development experience with service-oriented architecture and large-scale distributed systems.
  • •Experience across the full software development lifecycle: design/implementation, testing, deployment, and operations.
  • •Experience working on production ML platforms, MLOps solutions, or building LLM applications.
  • •Experience running operations for high availability, low latency systems.
  • •Experience partnering with other teams to drive business outcomes.
Experience:2+ yearsMachine learningAI/MLMLOpsLLM
Skills:PragmatismProblem-solvingCollaborationLearning mindsetOwnership
Languages:English

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
WebsiteLinkedInGlassdoor