Intern Researcher - Agentic AI
- Montreal, QC, Canada
Volunteer
Applications open in a new tab.
Job details
- Job type
- Volunteer
- Posting language
- English
- Posted
Original job description
Huawei Canada has an immediate internship 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 LLMs, RL, NLP, computer vision, AI theory, and Autonomous driving.
About the job:
About the ideal candidate:
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.
Huawei aims to support a French-speaking work environment for its employees in Quebec. We have taken steps to avoid requiring a language other than French for this position. However, proficiency in English is essential for this role for the following reasons:
The person will be required to communicate regularly with colleagues located outside Quebec, where English is the primary language used for communication between offices. In addition, the nature of the tasks related to this position, which falls within a highly specialized field of artificial intelligence, also requires knowledge of English.
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 LLMs, RL, NLP, computer vision, AI theory, and Autonomous driving.
About the job:
- Research, design, and implement novel LLM-based agent architectures for planning, reasoning, and decision-making.
- Explore agent memory, reflection, self-evaluation, and feedback loop to enable continual learning and self-improvement.
- Survey recent developments in the related field and proactively communicate with team members.
- Perform experiments and evaluate, analyze and drive insights from experiments.
About the ideal candidate:
- Currently a PhD or Master's student in computer science or related fields.
- Hands-on project experiences on building agent systems for planning and reasoning.
- Familiar with reinforcement learning (RL), ReAct (Reasoning and Acting), and Chain-of-Thought (CoT), tool calling.
- Strong AI/ML coding skills in Python; experienced with PyTorch.
- Good communication skills, willingness to collaborate and self-motivated.
- Excellent oral and written communication skills.
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.
Huawei aims to support a French-speaking work environment for its employees in Quebec. We have taken steps to avoid requiring a language other than French for this position. However, proficiency in English is essential for this role for the following reasons:
The person will be required to communicate regularly with colleagues located outside Quebec, where English is the primary language used for communication between offices. In addition, the nature of the tasks related to this position, which falls within a highly specialized field of artificial intelligence, also requires knowledge of English.
More about this job
Responsibilities
The intern researcher will research, design, and implement novel LLM-based agent architectures for planning, reasoning, and decision-making. They will also explore agent memory, reflection, self-evaluation, and feedback loops to enable continual learning and self-improvement.
Requirements
The ideal candidate is currently a PhD or Master's student in computer science or related fields with hands-on project experience in building agent systems. They should be familiar with reinforcement learning, have strong AI/ML coding skills in Python, and possess good communication skills.
Skills
- Artificial Intelligence
- Machine Learning
- Python
- Reinforcement Learning
- Natural Language Processing
- Computer Vision
- Decision Making
- Planning
- Reasoning
- Self-Evaluation
- Feedback Loop
- Continual Learning
- Collaboration
- Communication
- PyTorch
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Science & Research
- Data & Analytics
Keywords
- Artificial Intelligence
- Machine Learning
- Python
- Reinforcement Learning
- Natural Language Processing
- Computer Vision
- Decision Making
- Planning
- Reasoning
- Self-Evaluation
- Feedback Loop
- Continual Learning
- Collaboration
- Communication
- PyTorch
- LLM
- Agent Architectures