Huawei Canada has an immediate 8-12month Co-op openings for Assistant 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, audio, speech, AI theory, and Autonomous driving.
About the job:
Research and develop state-of-the-art technology in speech and audio AI.
Perform tasks such as literature review, algorithm implementation, data collection and analysis.
Work with various types of speech and audio analysis using cutting-edge deep learning, and speech and audio signal processing techniques.
Document, present and publish research results.
Work under supervision in a team, with other researchers, senior researchers and coop researchers.
The total target annual compensation for this position ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.
About the ideal candidate:
Currently pursuing a Bachelor's, Master's or Ph.D. degree in Computer Science or a related field.
Interest in and solid understanding of speech and audio fundamentals (Data Structure / Algorithm).
Strong analytical and problem-solving skills.
Strong software development skills.
Previous internship experiences with C++ and Python development.
Good understanding of deep learning and classic machine learning techniques (Artificial Neural Networks / Transforms and Foundational Models / SVM / PCA / Linear Regression / Decision Trees, etc.).
Able to grasp basic speech and audio processing concepts and techniques.
Experience with applying machine learning or speech and audio methods to real-world problems.
Experience with TensorFlow, Pytorch, or other deep learning frameworks.
Experience with Android development and familiar with JNI is an asset.
Excellent communication skills, self-motivated, with creative thinking and attention to details.
Excellent organization skills, attention to detail, and ability to multi-task under considerable pressure and changing priorities.
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.
Skills Required
- Interest in and solid understanding of speech and audio fundamentals, data structures, and algorithms
- Strong analytical and problem-solving skills
- Strong software development skills
- Previous internship experience with C++ and Python development
- Understanding of deep learning and classical machine learning techniques
- Ability to grasp basic speech and audio processing concepts and techniques
- Experience applying machine learning or speech and audio methods to real-world problems
- Experience with TensorFlow, PyTorch, or other deep learning frameworks
- Experience with Android development and familiarity with JNI
- Excellent communication skills, self-motivation, creative thinking, and attention to detail
- Strong organization skills and ability to multitask under pressure and changing priorities
What We Do
Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. We have approximately 197,000 employees and we operate in over 170 countries and regions, serving more than three billion people around the world. In Canada, Huawei conducts innovative and leading edge research in 5G technologies, along with advanced development of emerging cloud, device and network technologies & services. While our renowned Canada Research Centre in the thriving technology landscape of Ottawa, Ontario continues to grow rapidly in size and strategic product initiatives, additional presence has also been established across Canada with R&D facilities in Vancouver, Edmonton, Waterloo, Markham, Montreal, and a R&D office in Quebec City.
