Co-op Researcher - Machine Learning, Speech & Audio AI

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.