Co-op Researcher - Embodied AI Agent (Robotic)
At a glance
Junior AI Research role at Huawei Technologies Canada Co., Ltd. Markham · internship.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Contribute to the embodied AI project by turning proposed models into algorithms and deploying them in internal products
- Work alongside the research team as the project advances
- Track developments in selected machine-learning areas and write insight and technical reports
What you bring
- You are enrolled in year three of a computer science, electrical engineering or related technical degree
- You have a co-op program placement and official work-term registration covering the full employment period
- You understand deep-learning training, regularization and generalization, and can code in Python and PyTorch
- You communicate well in writing and speech, including in English
Who this fits
This junior co-op role suits a student interested in embodied AI research and implementation. It is based onsite in Montreal, and you must be registered for an official co-op term for the full employment period. English is essential for regular communication with colleagues outside Quebec and for the specialized work.
From the employer
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-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:
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.
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
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.