ML Infrastructure Engineer - Build Scalable ML Platforms

Nubeero Limited; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

Stripe is seeking a Software Engineer, Machine Learning Infrastructure in Toronto to help build scalable ML tooling and services across notebooks, training, deployment, and LLM applications. You will collaborate with ML engineers, data scientists, and product teams to accelerate ML development and deployment.

Join an infrastructure team that designs reliable, low-latency systems and empowers researchers to move from experimentation to production, across multiple regions.

Qualifications

• 2+ years of professional software development experience.
• Experience with large-scale distributed systems.
• Experience in production ML platforms or LLM applications.
• Ability to work with cross-functional teams.

Responsibilities

• Design, build scalable, secure services for notebooks, ML model training, experimentation, serving, and LLM applications across multiple regions.
• Develop libraries enabling ML engineers to move from experimentation to production.
• Collaborate with product teams and ML engineers to improve day-to-day productivity.
• Own technical and product challenges across diverse systems and technologies.

Skills

Distributed systems

Service-oriented architecture

ML platforms / MLOps

High availability systems

Cross-team collaboration

Tools

LLM frameworks

Job description

Stripe is seeking a Software Engineer, Machine Learning Infrastructure in Toronto to help build scalable ML tooling and services across notebooks, training, deployment, and LLM applications. You will collaborate with ML engineers, data scientists, and product teams to accelerate ML development and deployment.

Join an infrastructure team that designs reliable, low-latency systems and empowers researchers to move from experimentation to production, across multiple regions.