Posted 24 days ago
Intern Researcher- Audio, Speech & Acoustic AI
@ Huawei Technologies Canada Co., Ltd.
Markham, Ontario
Overview
Huawei Technologies Canada is hiring an Audio, Speech & Acoustics Research Intern for a 12-month internship with its AI & Signal Processing Research team. The intern designs and tests audio signal processing and deep learning algorithms, builds data pipelines, and implements proof-of-concept code in Python or C++. The posting states a targeted annual compensation of $58,000 to $104,000 based on 2,080 hours per year.
Pay:
$58,000–$104,000 a year
Responsibilities:
- Design and evaluate audio and speech processing algorithms
- Build data pipelines for acoustic data augmentation and feature extraction
- Develop Python or C++ prototypes to validate models on benchmark datasets
- Help transfer research prototypes into product features
- Document methods and results for publication
Requirements summary:
- Master's or PhD student in electrical engineering, computer science, or related field
- Strong DSP and deep learning foundations
- Hands-on PyTorch or TensorFlow experience
- Strong Python proficiency with NumPy, SciPy, Librosa or Torchaudio
- Publication record in domain conferences such as ICASSP or INTERSPEECH
Tools & skills
Source and dates
Employer career site / ATS feed · recruitee
- Employer posting date
- 2026-10-13
- First seen by our source
- 2026-10-13
- Source record updated
- 2026-11-06
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Entry level |
| Department | Software development |
| Hours per week | 40 |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Master’s degree (required), Doctorate (required) |
| Fields of study | Electrical Engineering, Computer Science, Audio/Acoustic Engineering |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Huawei Technologies Canada Co., Ltd.
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| Field | Value |
|---|---|
| Industry | Telecommunications |
| Company size | 10001+ |
| Headquarters | Shenzhen, Guangdong |
| Open jobs on Jobsy | 187 |
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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.
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