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Huawei Technologies Canada Co., Ltd.

Researcher – Web Agent

19 Allstate Parkway, Markham, ON, L3R 5B4, Canada

The total target annual compensation (based on 2,080 hours per year) ranges from $106,000 to $156,000 depending on education, experience, and demonstrated expertise. · Full-time

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Job details

Pay: The total target annual compensation (based on 2,080 hours per year) ranges from $106,000 to $156,000 depending on education, experience, and demonstrated expertise.
Job type: Full-time
Posting language: English
Posted: Oct 6, 2026

Original job description

Huawei Canada has an immediate permanent opening for a Researcher.

About the team:

The Web Technology Lab focuses on two areas of next-generation web technology: Web Rendering and Web Agents. Web Rendering explores the Chromium rendering architecture, including the development of concurrent web layout systems and the use of vertical integration opportunities to optimize performance and user experience. Web Agents explores how AI agents understand websites, leverage web capabilities, and complete tasks for users. This includes browser-native agents and emerging technologies such as WebMCP, helping evolve the web from a space primarily designed for people to browse and interact with into one where people and AI agents can work together. Together, these efforts aim to make the web more efficient to render and easier for both people and AI agents to use.

About the job:

Research how state-of-the-art web agents (browser-use, computer-use, MCP-based agents) interact with real-world websites - identifying failure modes, reliability gaps, and capability ceilings.
Study how different web tech stacks affect agent performance, and define design patterns that make sites more agent-friendly.
Investigate how LLMs perceive and reason about web content (HTML, rendered DOM, screenshots, accessibility trees) and which representations are most effective for different tasks.
Prototype new architectures, interaction models, and agent frameworks to empirically test hypotheses and bridge Web capabilities with AI-driven Agents.

The total target annual compensation (based on 2,080 hours per year) ranges from $106,000 to $156,000 depending on education, experience, and demonstrated expertise.

About the ideal candidate:

Solid understanding of how LLMs work - including prompting, context management, tool use, and reasoning patterns.
Hands-on experience building or evaluating AI agents - particularly those that interact with external environments (web, APIs, tools).
Comfortable using AI-assisted coding tools to build and iterate on prototypes independently; able to build prototypes independently.
Strong research and writing skills, able to formulate clear hypotheses, design experiments, and communicate findings in structured written form.

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.

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More about this job

Responsibilities

The researcher will investigate how state-of-the-art web agents interact with real-world websites to identify reliability gaps and capability ceilings. They will also prototype new architectures and interaction models to bridge web capabilities with AI-driven agents.

Requirements

Candidates must have a solid understanding of LLMs, including prompting, context management, and reasoning patterns. Hands-on experience building or evaluating AI agents that interact with external environments is required.

Skills

LLMs
Prompting
Context Management
Tool Use
Reasoning Patterns
AI Agents
Web Rendering
Chromium
Web Technology
Prototyping
Experimental Design
Technical Writing
API Integration
DOM
HTML

Visa sponsorship

Not detected in the job text

Keywords

Researcher
Web Agent
Web Rendering
Chromium
AI Agents
WebMCP
LLMs
Prompting
Context Management
Tool Use
Reasoning Patterns
Browser-use
Computer-use
MCP-based agents
Web Tech Stacks
HTML
Rendered DOM
Screenshots
Accessibility Trees
Prototyping
Interaction Models
Agent Frameworks
Experimental Design
Technical Writing
Huawei Canada

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