Huawei Canada has an immediate 8-12-months opening for an Intern Researcher
About the Role
Huawei Canada CBG team is seeking a highly motivated Audio, Speech, & Acoustics Research Intern to join our AI & Signal Processing Research team. In this role, you will work closely with senior researchers and engineers to explore, design, and implement cutting-edge algorithms at the intersection of acoustic signal processing, deep learning, and speech processing.
About the job
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.
The total targeted annual compensation (based on 2,080 hours per year) ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.
About the ideal candidate:
Currently pursuing a Master's or Ph.D. degree in Computer Science or a related field.
Strong background in one or more areas including LLMs, VLMs, multimodal learning, reinforcement learning, generative AI, code generation, AI agents, computer vision, NLP.
GUI agents, web agents, computer-use agents, or mobile agents.
Strong programming and implementation skills, particularly in Python, with hands-on experience using modern deep learning frameworks such as PyTorch.
Strong research ability, including problem formulation, algorithm design, experimental evaluation, and technical analysis.
Ability to independently identify promising research directions and turn ideas into working prototypes and experimental results.
Strong communication and collaboration skills.
Publications in venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, AAAI, or related top-tier venues.
Agentic systems, tool use, function calling, MCP, or multi-step planning.
Code generation, coding agents, program synthesis, or software engineering agents.
UI code generation or automated web/application development.
Web technologies and browser automation, such as HTML, CSS, JavaScript, DOM, Playwright, or browser APIs.
Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.
All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Huawei Technologies provides innovative and customized network solutions for telecom carriers around the world. Huawei holds leading positions in the global market in switching, next generation network (NGN), integrated access network, DSLAM, and intelligent network. Specializing in the areas of fixed network, mobile network, optical network, data communications, and value-added services, we strive to enable the best communication with our deep understanding of customers' needs. Huawei is dedicated to delivering long term value and potential growth to our customers. Established in 1988 and headquartered in Shenzhen, China, Huawei has already won trust from over 300 telecom carriers around the world. Our products and solutions serve over 90 countries, as well as 22 of the world's top 50 operators. Huawei’s cloud computing products provide the reliability, agility, and price-performance needed for delivering cutting-edge applications and services quickly, safely, and securely to large scale of industry verticals. Our cloud deploys various popular technologies like Docker, Kubernetes, Mesos, Openstack, SDN/NFV, Hadoop, Spark, and many more. Huawei Public Cloud now mainly launched in China (and will spread to the other parts of the world) and Private cloud is deployed in several customer locations. Huawei has 400+ Worlwide Data Centers including several public/private cloud setups.