Intern Researcher- Audio, Speech & Acoustic AI

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

Job summary

Huawei Canada is seeking an Audio, Speech, & Acoustics Research Intern to join the AI & Signal Processing Research team in Markham. You will explore and implement cutting-edge algorithms at the intersection of acoustic processing and deep learning, mentored by senior researchers.

Ideal candidates are pursuing a Master’s or Ph.D. with strong DSP foundations and experience in Python, PyTorch or TensorFlow, and a record of research publications.

Qualifications

• Pursuing Master’s or Ph.D. in a relevant quantitative field.
• Strong foundations in digital signal processing and deep learning for audio.
• Hands-on experience with PyTorch or TensorFlow.
• Proficiency in Python (NumPy, SciPy, Librosa).
• Track record of research publications in relevant conferences.

Responsibilities

• Design, prototype, and evaluate novel audio DSP algorithms and DL models for speech and acoustics.
• Build robust data pipelines for acoustic data augmentation and feature extraction.
• Develop efficient Python/C++ implementations to test hypotheses and validate models.
• Collaborate with engineering teams to translate research into scalable features.
• Document methodologies and publish findings at top conferences (ICASSP, INTERSPEECH, NeurIPS).

Skills

DSP fundamentals

Deep learning for audio

Python programming

Research mindset

Speech AI concepts

Publications in conferences

Education

Master's or PhD in Electrical Engineering / CS / Audio

Tools

PyTorch

TensorFlow

Librosa

NumPy/SciPy

Job description

Huawei Canada has an immediate 12-month internship opening for a Researcher

About The Role

Huawei Canada CBG team is seeking a highly motivated Audio, Speech, & Acoustics Research Intern to join our AI & Signal Processing Research team. In this role, you will work closely with senior researchers and engineers to explore, design, and implement cutting-edge algorithms at the intersection of acoustic signal processing, deep learning, and speech processing.

Key Responsibilities

• Algorithm Research & Development: Design, prototype, and evaluate novel audio signal processing algorithms and deep learning models for speech and acoustic processing.
• Data Pipelines & Dataset Curation: Build robust data pipelines for synthetic and real-world acoustic data augmentation, simulation, and feature extraction (e.g., room impulse response generation, spectrograms, neural representations).
• Proof-of-Concept Implementation: Develop efficient clean Python / C++ implementations to test research hypotheses and validate models on benchmark datasets.
• Cross-Functional Collaboration: Partner with engineering teams to help translate successful research prototypes into scalable product features.
• Publication & Documentation: Clear technical documentation of methodologies and results, with the potential to publish findings at top-tier conferences (e.g., ICASSP, INTERSPEECH, NeurIPS).

total targeted annual compensation (based on 2,080 hours per year) ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.
Job requirements

About the Ideal Candidate

• Currently pursuing a Master’s or Ph.D. degree in Electrical Engineering, Computer Science, Audio/Acoustic Engineering, or a related quantitative field.
• Strong foundations in Digital Signal Processing (DSP) (e.g., STFT, filter design, array processing, room acoustics) and/or Deep Learning for Audio.
• Hands‑on experience with deep learning frameworks such as PyTorch or TensorFlow.
• Strong proficiency in Python (including NumPy, SciPy, Librosa, PyTorch-Audio, or Torchaudio).
• Strong analytical skills, curiosity, and passion for solving open research problems in audio.
• Track record of research publication in domain conferences (e.g., ICASSP, INTERSPEECH, WASPAA, IEEE TASLP).
• Speech AI: Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Voice Conversion, or Speaker Diarization.
• Acoustic Signal Processing: Acoustic Echo Cancellation (AEC), Active Noise Control (ANC), Beamforming, Sound Source Localization, or Dereverberation.
• Audio Generation & Enhancement: Neural audio codecs, generative audio models (Diffusion/LLMs for audio), or audio source separation.
• Spatial Audio: Ambisonics, HRTF modeling, or binaural rendering.

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.