Intern Research Scientist AI Software Development (Graduate Level)
Huawei Technologies Canada Co., Ltd.Markham, ON, CA
Stage
Huawei Canada has an immediate.The Human-Machine Interaction Lab unites global talents to redefine the relationship between humans and technology.
Focused on innovation and user-centered design, the...Voir plusDernière mise à jour : il y a 13 heures
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Intern Research Scientist AI Software Development (Graduate Level)
Huawei Technologies Canada Co., Ltd.Markham, ON, CA
Il y a 13 heures
Type de contrat
Stage
Description de poste
Huawei Canada has an immediate internship opening for a Research Scientist .
About the team :
The Human-Machine Interaction Lab unites global talents to redefine the relationship between humans and technology. Focused on innovation and user-centered design, the lab strives to advance human-computer interaction research. Our team includes researchers, engineers, and designers collaborating across disciplines to develop novel interactive systems, sensing technologies, wearable and IoT systems, human factors, computer vision, and multimodal interfaces. Through high-impact products and cutting-edge research, we aim to enhance user experiences and interactions with technology.
About the job :
Develop novel solutions and perform extensive evaluation of prototypes contributing to Huawei’s next-generation products, including but not limited to smartphones, smart watches, smart eyewear, laptops, tablets, TVs, and smart devices.
Idea generation with research mentors, review literature and existing solutions of a challenging real-world research problem.
Present research outcomes to internal and / or external audiences.
Collaborate with researchers and product teams to implement research findings into products.
About the ideal candidate :
Currently has, or is in the process of obtaining, a PhD / Master degree in the field of Computer Science, Natural Language Processing, Machine Learning, Artificial Intelligence, or relevant technical field.
Experience in digital signal processing fundamentals, such as time-frequency analysis, convolutions and filtering.
Research and / or work experience in Machine Learning or Deep Learning.
Experience with Deep Learning software for Python, e.g. PyTorch, HuggingFace, or TensorFlow.
Experience with designing and overseeing human-subject experiments, particularly involving human-computer interaction.
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as ICASSP, INTERSPEECH, ICML, ICLR, NeurIPS, ACL, EMNLP, POPL, or similar is an asset.