Intern Researcher - Embodied AI

Reposted Yesterday
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Markham, ON, CAN
In-Office
Internship
Information Technology • Other
The Role
The intern researcher will focus on developing LLM models for virtual environments, publishing papers, and contributing to AI/ML research frameworks.
Summary Generated by Built In

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.

Skills Required

  • Ph.D. in Computer Science, Electrical and Computer Engineering, Statistics, Applied Mathematics or related field
  • 2+ years of research and development experience
  • Proficiency in a programming language (e.g., Python)
  • Experience in deep learning/machine learning frameworks (PyTorch and Tensorflow)
  • Publication record at top-tier ML/AI conferences
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The Company
HQ: Shenzhen
1,770 Employees
Year Founded: 1987

What We Do

Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. We have approximately 197,000 employees and we operate in over 170 countries and regions, serving more than three billion people around the world. In Canada, Huawei conducts innovative and leading edge research in 5G technologies, along with advanced development of emerging cloud, device and network technologies & services. While our renowned Canada Research Centre in the thriving technology landscape of Ottawa, Ontario continues to grow rapidly in size and strategic product initiatives, additional presence has also been established across Canada with R&D facilities in Vancouver, Edmonton, Waterloo, Markham, Montreal, and a R&D office in Quebec City.

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