Co-op Researcher - Embodied AI Agent (Robotic)

Huawei Technologies Canada Co., Ltd.

Montreal (administrative region)

On-site

CAD 20,000 - 31,000

Part time

14 days+
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Job summary

Huawei Canada is offering a co-op position for a Researcher in Montreal to contribute to embodied AI research. You will implement algorithms, prototype models, and deploy solutions into internal products while collaborating with team researchers.

The ideal candidate is a senior student in CS/EE with strong Python and PyTorch skills, knowledge of DL, and familiarity with LLMs and robotics simulators; excellent written and verbal communication is required.

Qualifications

  • Currently enrolled in a 3rd year Bachelor or Master’s program in CS, EE, or a related field.
  • Good knowledge of Deep Learning components: training, regularization, generalization.
  • Strong coding skills in Python; experience with PyTorch.
  • Experience with training or inference using Large Language Models (LLMs) is an asset.
  • Experience with robotics simulators such as Isaac Sim/Lab, ManiSkill, or PyBullet is a strong asset.
  • Knowledge and experience in robotics is an asset.
  • Good verbal and written communication skills.

Responsibilities

  • Participate in the embodied AI research project.
  • Implement algorithms for proposed models and applications; deploy into internal products.
  • Work closely with researchers in the team.
  • Keep up-to-date on selected ML areas and write insight and technical reports.

Skills

Deep Learning
Python
PyTorch
LLMs
Robotics simulators
Robotics
Communication

Education

Enrollment in third year Bachelor or Masters

Tools

PyTorch

Job description

Huawei Canada has an immediate Co-op opening for a Researcher.
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-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:
  • Participate in the embodied AI research project;

  • Implement algorithms for proposed models and applications, deploy into internal products;

  • Work closely with researchers in the team;

  • Keeping up-to-date on selected areas of ML and write insight report, technical reports.


About the ideal candidate:
  • Currently enrolled in third year Bachelor or Master's in Computer Science, Electrical Engineering or a related technical field;

  • Good knowledge of Deep Learning (DL) components (training, regularization, generalization);

  • Strong coding skills in Python, experience with coding in Pytorch;

  • Experience in training or inference using Large Language Models (LLMs) is an asset;

  • Experience with robotics simulators such as Isaac Sim/Lab, ManiSkill, or PyBullet is a strong asset;

  • Knowledge and experience in robotics is an asset;

  • Good verbal & written communication skills.

Informations supplémentaires :

Huawei Canada s'engage à un processus de recrutement équitable, inclusif et accessible. Si vous avez besoin d'un accommodement à n'importe quelle étape du processus d'embauche, veuillez nous en informer, et nous travaillerons avec vous pour répondre à vos besoins.

Toutes les candidatures pour ce poste sont examinées directement par notre équipe de recrutement, nous n'utilisons pas d'outils d'intelligence artificielle pour filtrer ou sélectionner les candidats.

Huawei vise à soutenir un environnement de travail francophone pour ses employés au Québec. Nous avons pris des mesures pour éviter de demander une autre langue que le français pour ce poste. Cependant, la maîtrise de l'anglais est essentielle pour ce rôle pour les raisons suivantes :

La personne devra communiquer régulièrement avec des collègues situés en dehors du Québec, où l'anglais est la langue principale utilisée pour la communication entre les bureaux. De plus, la nature des tâches liées à ce poste, qui relève d'un domaine hautement spécialisé de l'intelligence artificielle, nécessite également une connaissance de l'anglais.

L'utilisation du genre masculin a été adoptée afin de faciliter la lecture et n'a aucune intention discriminatoire.

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