Software Engineer, Machine Learning Infrastructure

Stripe · Toronto, Canada · 8122 Data Foundations · listed July 24, 2026

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The shape of it

Seniority
Mid level
Experience asked
2+ years
Where
Not stated
Requirements listed
6
Length
496 words

In the posting’s own words

You will work closely with machine learning engineers, data scientists, and product engineering teams to enable seamless end-to-end experience in building solutions across data, analytics, and AI/ML platforms. You will build the next generation of ML Infra services and major new capabilities that substantially improve ML development velocity and MLOps maturity across the company.

What it asks for · 6

  • 2+ years of professional software development experience with a solid background on service oriented architecture and large-scale distributed systems
  • Experience working through the full life cycle of software development, from talking to users, to design and implementation, to testing and deployment, to 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
  • A sense of pragmatism: you know when to aim for the ideal solution and when to adjust course

Also a plus

  • Experience building and shipping production AI agents
  • Familiarity with the LLMs and LLM Frameworks
  • Experience training and shipping machine learning models to production to solve critical business problems

What the job covers

  • Designing and building scalable, reliable, and secure services for notebooks, ML model training, experimentation, serving, and LLM applications across multiple regions.
  • Creating services and libraries that enable ML engineers at Stripe to seamlessly transition from experimentation to production across Stripe’s systems.
  • Working directly with product teams and ML engineers to improve their day-to-day productivity.
  • Taking ownership of and finding solutions for technical and product challenges by working with a diverse set of systems, processes, and technologies.

Tools and skills named

Models & research
  • Machine learning14×
  • LLM5×
Data
  • Experimentation3×
Cloud & infra
  • Distributed systems
Ways of working
  • Testing

Words the posting leans on

  • experience8×
  • building7×
  • systems6×
  • services5×
  • data4×
  • development4×
  • product4×
  • production4×
  • solutions4×
  • comfortable3×
  • engineers3×
  • experimentation3×
  • llm applications3×
  • machine learning3×
  • models3×
  • training3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 25, 2026 and last changed by Stripe on August 18, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.