TL;DR
Software Engineer (AI/ML Infrastructure): Develop scalable, reliable, and secure services for ML infrastructure including notebooks, model training, experimentation, serving, and LLM applications. Focus on building next-generation ML Infra services to improve ML development velocity and MLOps maturity across the company.
Location: Toronto, Canada
Salary: CA$135,200 - CA$202,800 annually
Company
Stripe is a financial infrastructure platform used globally by businesses to accept payments and grow revenue, with a mission to increase the GDP of the internet.
What you will do
- Design and build scalable, reliable, and secure services for ML lifecycle including notebooks, training, experimentation, serving, and LLM applications across multiple regions.
- Create services and libraries enabling ML engineers to transition from experimentation to production seamlessly.
- Collaborate with product teams and ML engineers to improve productivity.
- Own and solve technical and product challenges across diverse systems and technologies.
Requirements
- Location: Must be based in Toronto, Canada or able to work onsite.
- 2+ years professional software development experience with service oriented architecture and large-scale distributed systems.
- Experience with production ML platforms, MLOps solutions, or building LLM applications.
- Experience running operations for high availability, low latency systems.
- Experience partnering with teams to drive business outcomes.
- Strong pragmatism in balancing ideal solutions and practical adjustments.
Nice to have
- Experience building and shipping production AI agents.
- Familiarity with LLMs and LLM frameworks.
- Experience training and shipping machine learning models to production for critical business problems.