Researcher - Speech & Acoustic AI

Huawei Technologies Canada Co., Ltd.; Markham; On-site; CAD 127,000 - 225,000; Full time

Job summary

Huawei Canada invites applications for a Researcher in the Noah’s Ark lab. The role focuses on frontier AI research, algorithm design, literature review, data collection and analysis, with opportunities to publish in top venues and translate findings into Huawei products and services, including LLMs and AI technologies.

The ideal candidate will hold a PhD, have a track record of impactful research and publications, and excel in collaboration with senior researchers, engineers, and product

Qualifications

• PhD in Computer Science, Electrical Engineering, or related field from a top university.
• Experience with acoustic/speech/audio projects (industry-level or open-source).
• Proven track record in academic/industry publications (ACL, ICLR, AAAI, COLING, ICML, NeurIPS, etc.).
• Passion for translating research into real-world, robust, scalable applications.

Responsibilities

• Work independently to design algorithms, review literature, and collect/analyze data.
• Author/co-author papers for top conferences/journals.
• Collaborate with cross-functional teams (researchers, product managers, engineers).
• Present findings to internal/external stakeholders and communicate complex concepts clearly.

Skills

Acoustic/Speech project

Analytical thinking

Collaborative

Problem solving

Education

PhD in Computer Science/Electrical Engineering

Job description

Huawei Canada has an immediate opening for a 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, AI theory, and Autonomous driving.

About the job:

• Work independently to explore frontier research goals, performing tasks such as algorithm design, literature review, and data collection and analysis.
• Author and co-author research papers for publication in top academic conferences and journals.
• Participate in brainstorming sessions and contribute fresh ideas to the research process.
• Collaborate with cross-functional teams (e.g., senior researchers, product managers, engineers).
• Analyze and interpret research findings, drawing insightful conclusions and keep track of the latest advancement in related research and identify opportunities for application with CBG products.
• Present research findings to internal and external stakeholders, effectively communicating complex technical concepts.

The total target annual compensation for this position ranges from $127,000 to $225,000 depending on education, experience, and demonstrated expertise.

About the ideal candidate:

• Experience with acoustic/speech/audio project (industry-level or open-source) or a groundbreaking solution for hard problem or impactful research or similar achievement.
• PhD in Computer Science, Electrical Engineering, or a related field from a top university globally.
• Have established yourself in the research communities and/or in the industry with a proven track of record in academic/industry publications, at least one (ACL, ICLR, AAAI, COLING、ICML and NeurIPS etc.).
• Passion for innovation and a desire to translate research into real-world applications, robust and scalable.
• Creative, collaborative and innovation-focused.
• Strong analytical and problem-solving skills.

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.