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

Huawei Canada; Markham; On-site; CAD 58,000 - 104,000; Full time

Job summary

Huawei Canada invites applications for an 8-12 month Co-op as Assistant Researcher in Markham, Ontario. You will join Noah's Ark lab to advance AI research in speech and audio technologies, with exposure to state-of-the-art DL methods and real-world product integration.

We seek a proactive student with C++ and Python experience, knowledge of deep learning, and strong communication skills. You'll contribute to literature reviews, algorithm implementations, data collection, and publishable results

Qualifications

• Interest in speech and audio fundamentals; data structures/algorithms.
• Strong analytical and problem-solving skills.
• Strong software development skills with C++ and Python.
• Experience with TensorFlow or PyTorch.
• Experience applying ML or speech/audio methods to real-world problems.
• Android development familiarity; JNI is a plus.
• Excellent communication and organizational skills.

Responsibilities

• Research and develop state-of-the-art technology in speech and audio AI.
• Literature review, algorithm implementation, data collection and analysis.
• Work with advanced speech and audio analysis using deep learning and signal processing techniques.
• Document, present and publish research results.
• Collaborate with a team of researchers and co-op researchers.

Skills

Speech/audio fundamentals

Analytical thinking

Software development

C++ and Python

Deep learning

TensorFlow / PyTorch experience

Android & JNI (asset)

Communication skills

Organization & multi-tasking

Tools

TensorFlow

PyTorch

JNI

Job description

Huawei Canada has an immediate 8-12month Co-op openings for Assistant Researcher.

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.

Job requirements

About the ideal candidate:

• 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.

Additional Information

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.