Posting record
Open 13+ days
- Already up when Ghostless started watching Huawei Canada
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Huawei Canada, so its true age is longer.
Last checked Nov 3, 2026.
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Upload your resumeWhat the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
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.
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