ML & AI Infrastructure Co-op Engineer

huaweicanada; Markham; On-site; CAD 58,000 - 104,000; Part time

Job summary

Huawei Canada is seeking an Engineer co-op to build and maintain software for ML workflows, APIs, and automation. You will collaborate with researchers and engineers to translate requirements into scalable software solutions.

The role emphasizes debugging, testing, and delivering clean, well-documented code in a Linux development environment, with opportunities to work on Next Generation Foundation Models and AI-enabled products.

Qualifications

• Pursuing a Bachelor's degree in CS/SE/CE/ML or related field.
• Strong programming skills, preferably Python.
• Familiar with Linux dev environments; solid debugging & testing.
• Experience with REST APIs, Git, Docker and backend development.
• Knowledge of ML workflows, distributed systems and cloud infra a plus.

Responsibilities

• Develop and maintain software tools and infrastructure for ML/AI workflows.
• Build backend services, APIs, automation tools, and system integrations.
• Support large-scale experiment execution, evaluation, and data processing workflows.
• Debug issues and improve system reliability, performance, and usability.
• Collaborate with researchers and engineers to translate requirements into software solutions.
• Provide technical support for developed tools and write clean, well-tested code.

Education

Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Machine Learning, or related field

Tools

Python

Git

Linux

REST APIs

Docker

React

TypeScript

Databases

Distributed systems

Cloud infrastructure

Open-source contributions

AI/ML workflows

Backend development

Testing

Debugging

LLMs/AI agents

Job description

Huawei Canada is seeking an Engineer co-op to build and maintain software for ML workflows, APIs, and automation. You will collaborate with researchers and engineers to translate requirements into scalable software solutions.

The role emphasizes debugging, testing, and delivering clean, well-documented code in a Linux development environment, with opportunities to work on Next Generation Foundation Models and AI-enabled products.