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Co-op Researcher-AI for Autonomous Driving & Multimodal Learning

ResearcherRecruitment & Talent Acquisition
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Quick Summary

Overview

Huawei Canada has an immediate 12/16-month Co-op opening for a Researcher role. 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.

Technical Tools
deep-learning

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 LLMs, RL, NLP, computer vision, AI theory and Autonomous driving.

About the Role

~1 min read
  • Investigate challenging problems in autonomous driving and multimodal reasoning (e.g., scene understanding, decision making, spatial reasoning, or causal learning).

  • Design and implement state-of-the-art algorithms using deep learning and transformer-based architectures for vision-language(-action) models.

  • Prototype and evaluate new ideas using internal simulation tools (e.g., CARLA, Navsim) and large-scale driving datasets (waymo, etc.)

  • Analyze model behaviors, develop visualizations, and contribute to benchmarking pipelines.

  • Collaborate closely with senior researchers to support ongoing research projects and publications.

  • Participate in regular technical discussions, contribute to internal presentations, and help maintain clean, reproducible codebases.

Location & Eligibility

Where is the job
Markham, Canada
On-site at the office
Who can apply
CA

Listing Details

First seen
May 6, 2026
Last seen
May 8, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
49%
Scored at
May 6, 2026

Signal breakdown

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huaweicanadaCo-op Researcher-AI for Autonomous Driving & Multimodal Learning