Huawei Canada
Posted 72 days agoVerified live 1d ago
Intern Researcher - Multimodal Learning
Brief overview
Montreal, CAIn-person
MastersOr in progress
Multimodal representation learningDeep learning architecturesSelf-supervised learningContrastive learningComputer visionNatural language processingTraining foundation modelsFine-tuning foundation modelsPython programmingPyTorch
About the company
Huawei Canadahuawei.com/ca
Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices.
Job description
Summary
Huawei Canada has an immediate internship opening for a Researcher in the Noah’s Ark Laboratory. The role involves developing and enhancing multimodal representation learning frameworks, conducting experiments, and contributing to high-impact intellectual properties and research publications.
Responsibilities
- Proposing and developing multimodal representation learning frameworks, including but not limited to algorithm design, model development, and data processing
- Enhancing existing representation learning frameworks through the integration of novel solutions
- Conducting experiments on large-scale datasets to validate and evaluate proposed ideas and solutions
- Staying current with the latest advancements in multimodal representation learning across both industry and academia
- Contributing to the proposal of high-impact intellectual properties (e.g., patents) and publishing of research papers in top-tier AI/ML conferences
Skills
- A Ph.D. or a Master's in Computer Science, Computer Engineering, Electrical and Computer Engineering, or a related field
- Familiar with deep learning architectures, as well as self-supervised and contrastive learning techniques
- Hands-on experience with computer vision and natural language processing projects
- Relevant experience in training and fine-tuning foundation models for vision and language downstream tasks
- Strong AI/ML coding skills in Python; experienced with coding in Pytorch
- Good communication skills, willingness to collaborate, and self-motivation
- Proficiency in English
Qualifications
Must Haves
- A Ph.D. or a Master's in Computer Science, Computer Engineering, Electrical and Computer Engineering, or a related field
- Familiar with deep learning architectures, as well as self-supervised and contrastive learning techniques
- Hands-on experience with computer vision and natural language processing projects
- Relevant experience in training and fine-tuning foundation models for vision and language downstream tasks
- Strong AI/ML coding skills in Python; experienced with coding in Pytorch
- Good communication skills, willingness to collaborate, and self-motivation
- Proficiency in English
More jobs like this
