Intern Researcher - Embodied AI

Huawei Canada; Markham; On-site; CAD 70,000 - 90,000; Full time

Job summary

A leading technology firm seeks an Embodied AI Researcher intern to develop innovative models for LLM agents and publish research at prestigious conferences. Candidates should have a Ph.D. or a master's degree with research experience in computer science or related fields, along with proficiency in Python and experience with deep learning frameworks such as PyTorch and TensorFlow. This role offers an opportunity to join a collaborative research environment focused on artificial intelligence advancements.

Qualifications

• Ph.D. or Master’s with research experience in relevant fields.
• Experience in the deep learning cycle: training, testing, analysis.
• Strong coding skills and understanding of data structures.

Responsibilities

• Research innovative models of LLM agents.
• Publish at top-tier ML conferences and file patents.
• Contribute to research and development frameworks.

Skills

Deep learning research

Programming in Python

Technical writing

Analytical skills

Problem-solving

Education

Ph.D. in Computer Science or related field

Tools

PyTorch

TensorFlow

Huggingface

DeepSpeed

PEFT

Job description

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.

Job Requirements

• 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.