Audio & AI Research Intern — Multimodal & Agents

Huawei Canada; Markham; On-site; CAD 58,000 - 104,000; Full time

Job summary

Huawei Canada is seeking an Audio, Speech, & Acoustics Research Intern to join the AI & Signal Processing Research team. You will work with senior researchers to explore, design, and implement cutting-edge algorithms at the intersection of acoustic signal processing, deep learning, and speech processing.

The ideal candidate is pursuing a Master’s or Ph.D. in Computer Science or related field, with strong Python and PyTorch skills, capable of rigorous experiments, and eager to publish results at

Qualifications

• Pursuing a Master’s or Ph.D. in Computer Science or related field.
• Strong background in LLMs, VLMs, multimodal learning, reinforcement learning, generative AI, code generation, AI agents, CV, NLP.
• Strong programming and implementation skills, particularly in Python, with hands-on experience using PyTorch.
• Strong research ability, including problem formulation, algorithm design, experimental evaluation, and technical analysis.

Responsibilities

• Conduct research on AI agents, LLMs, VLMs, code generation, and multimodal AI, with a focus on novel and impactful research problems.
• Design and develop GUI agents and coding agents for web, mobile, and computer-use environments.
• Develop and investigate new approaches for SFT, reinforcement learning, agent training, tool use, and function calling.
• Build research prototypes, datasets, training pipelines, benchmarks, and evaluation frameworks to validate new ideas.
• Conduct rigorous experiments and analyze results to advance the state of the art.
• Publish research findings in top-tier conferences and journals and communicate results through technical presentations and publications.

Skills

Python

PyTorch

Research

Communication

Collaboration

Problem formulation

Experimentation

Education

Master's or Ph.D. in CS

Tools

PyTorch

Job description

Huawei Canada is seeking an Audio, Speech, & Acoustics Research Intern to join the AI & Signal Processing Research team. You will work with senior researchers to explore, design, and implement cutting-edge algorithms at the intersection of acoustic signal processing, deep learning, and speech processing.

The ideal candidate is pursuing a Master’s or Ph.D. in Computer Science or related field, with strong Python and PyTorch skills, capable of rigorous experiments, and eager to publish results at