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Co-op Engineer - Machine Learning and AI Infrastructure

  • Markham, ON, Canada

On-site

The total target annual compensation for this position ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise. · Internship

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Job details

Pay
The total target annual compensation for this position ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.
Job type
Internship
Workplace
On-site
Posting language
English
Posted

Original job description

Huawei Canada has an immediate co-op opening for an Engineer.

About the team:

Founded in 2012, the Noah’s Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The lab’s mission focuses on advancing artificial intelligence and related fields to benefit the company and society. Driven by impactful, long-term projects, the aim is to enhance state-of-the-art research while integrating innovations into the company's products and services, including Next Generation Foundation Model, Agentic Models, Physical AI and Reinforcement Learning.

About the job:

  • Develop and maintain software tools and infrastructure for machine learning and AI workflows. Build backend services, APIs, automation tools, and system integrations.

  • Support large-scale experiment execution, evaluation, and data processing workflows.

  • Debug technical issues and improve system reliability, performance, and usability.

  • Work with researchers and engineers to understand requirements and translate them into practical software solutions.

  • Communicate with internal users, collect feedback, and occasionally provide technical support for developed tools.

  • Write clean, maintainable, and well-tested code.

The total target annual compensation for this position ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.

About the ideal candidate:

  • Currently pursuing a Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Machine Learning, or a related field.

  • Strong programming skills, preferably in Python. Solid software engineering fundamentals, including debugging, testing, Git, and working with existing codebases.

  • Familiarity with Linux development environments. Strong problem-solving skills and ability to learn unfamiliar technologies independently.

  • Good communication skills and ability to clarify and understand technical requirements.

  • Basic understanding of machine learning and modern AI systems.

  • Experience with backend development, REST APIs, or databases.

  • Experience with Docker, distributed systems, cloud or compute infrastructure

  • Familiarity with LLMs, AI agents, or ML evaluation workflows. Experience with frontend development such as React or TypeScript. Open-source contributions, internships, or substantial personal software projects.

  • Applicants must be enrolled in a co-op program and be registered for an official co-op work term for the full duration of the employment period

Additional Information:

Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.

All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.

More about this job

Responsibilities

The co-op engineer will build and maintain software tools that help researchers run AI experiments, including backend services and automation. The role also involves debugging, collecting user feedback and occasionally supporting the tools.

Requirements

Candidates need to be enrolled in a co-op program in computer science, software engineering or a related field, and be registered for the full work term. Strong Python skills, software engineering fundamentals and Linux familiarity are expected.

Skills

  • Python
  • Git
  • Linux
  • REST APIs
  • backend development
  • databases
  • Docker
  • distributed systems
  • cloud infrastructure
  • debugging
  • software testing
  • LLMs
  • AI agents
  • ML evaluation workflows
  • React
  • TypeScript
  • automation tools
  • system integration

Categories

  • Technology
  • Software
  • Data & Analytics

Keywords

  • Machine learning engineer co-op
  • AI infrastructure
  • Python
  • Git
  • Linux
  • REST APIs
  • Docker
  • distributed systems
  • LLM
  • AI agents
  • ML evaluation
  • React
  • TypeScript
  • backend development
  • co-op internship
  • software engineering intern

Seniority

Entry level

Tools

  • Git
  • Docker
  • Linux
  • Python
  • React
  • TypeScript

Languages

  • English

Fields of study

  • Computer Science
  • Software Engineering
  • Computer Engineering
  • Machine Learning

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