Intern Researcher - Embodied AI
Huawei Technologies Canada Co., Ltd. Open · verified Oct 22, 2026 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
- Develop LLM agents for decision-making, planning and reasoning in open-world virtual settings
- Prepare research for ML conferences, develop patent applications and write technical research reports
- Build, test and maintain frameworks that support research and development
- Track advances in areas such as Transformers and State Space Models, then share relevant findings with the team
What you bring
- A PhD in a relevant technical field, or a master's degree backed by related research and publications
- At least two years of research and development experience, including deep-learning model development and evaluation
- Strong AI/ML programming skills and hands-on experience with deep-learning frameworks such as PyTorch or TensorFlow
- Experience with LLMs, Transformer pipelines and NLP training and evaluation, plus publications at leading ML or AI conferences
Who this fits
This internship suits a research-focused candidate with graduate-level training and practical experience developing and assessing machine-learning models. The role is based on-site in Markham.
From the employer
Huawei Canada has an immediate internship opening for an Embodied AI 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:
Research and develop innovative models of LLM agents (decision-making, planning, reasoning, etc) with applications on (open-world) virtual environments;
Publish at top-tier ML conferences, file high-value patents, and write scientific technical reports;
Contribute to the design, implementation, test, and maintenance of research and development frameworks;
Ability to learn and grow in a collaborative research and development environment; communicate and develop solutions for complex learning problems;
Keeping up-to-date on selected areas of ML (such as Transformers, State Space Models, and deep learning) and new advances in the NLP/AI field and bringing insights to the team.
About the ideal candidate:
Ph.D. in Computer Science, Electrical and Computer Engineering, Statistics, Applied Mathematics or a related technical field (or Master’s with related research experience and publications) with 2+ years of research and development experience
Good theoretical knowledge and methodological experience in the deep learning research-and-development cycle: literature review, model formulation and development, training, testing, monitoring, fine-tuning, and quantitative/qualitative analysis
Proficiency in a programming language (e.g. Python); Good understanding of basic data structures and computational algorithms; strong AI/ML coding skills; experienced in deep learning/machine learning frameworks (PyTorch and Tensorflow)
Excellent team working, technical writing and presentation, analytical and problem-solving skills
Experience with LLMs, Transformer pipelines, and training and evaluation algorithms in NLP; related frameworks (Huggingface, DeepSpeed, PEFT)
Good knowledge and experiences with various learning paradigms such as in-context learning, prompt tuning, and parameter efficient fine-tuning.
Publication record at top-tier ML/AI conferences such as NeurIPS, ICML, ICLR, etc.