Intern Researcher- Audio, Speech & Acoustic AI
Huawei Technologies Canada Co., Ltd. Open · verified Oct 22, 2026 At a glance
Junior AI Research role at Huawei Technologies Canada Co., Ltd. Markham · internship · CA$58,000–CA$104,000 OTE.
aimlroles summary, based on the employer's posting.
What you'll do
- Create and assess algorithms and learned models that process speech and acoustic signals
- Set up data workflows for simulated and recorded audio, including augmentation and feature extraction
- Implement research tests in Python or C++ and check model results on benchmark datasets
- Coordinate with engineering teams to turn validated research prototypes into product capabilities
- Record methods and findings clearly, with possible conference publication
What you bring
- You are enrolled in a master's or Ph.D. program in electrical engineering, computer science, audio engineering or a related quantitative field
- You have a solid grounding in digital signal processing or audio-focused deep learning, plus experience with PyTorch or TensorFlow
- You are proficient in Python and have used scientific or audio libraries such as NumPy, SciPy or Librosa
- You have published research in a relevant audio or speech venue
Who this fits
This is suited to a graduate student seeking a junior research internship focused on audio, speech and acoustic AI. The internship runs for twelve months and is onsite in Markham.
From the employer
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).
The 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.
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.