Intern Researcher- Audio, Speech & Acoustic AI

Job summary

The intern will design and implement cutting-edge algorithms for acoustic signal processing and deep learning models. They will also build data pipelines and collaborate with engineering teams to translate research prototypes into scalable product features.

Job details

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.

What you’ll do

The intern will design and implement cutting-edge algorithms for acoustic signal processing and deep learning models. They will also build data pipelines and collaborate with engineering teams to translate research prototypes into scalable product features.

Requirements

Candidates must be currently pursuing a Master's or Ph.D. in a quantitative field such as Electrical Engineering or Computer Science. Strong foundations in Digital Signal Processing and deep learning frameworks like PyTorch or TensorFlow are required.

Listed skills

• Python · Preferred
• C++ · Preferred
• Machine learning · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Digital Signal Processing
• Deep Learning
• Python
• C++
• PyTorch
• TensorFlow
• Acoustic Signal Processing
• Speech Processing
• Data Pipelines
• Algorithm Development
• Machine Learning
• Speech Recognition
• Text-to-Speech
• Beamforming
• Audio Enhancement
• Spatial Audio
• Text to Speech (TTS)
• Cross-Functional Collaboration
• Synthetic Data Generation
• Curiosity
• Self-Motivation
• Analytical Skills
• Research
• Acoustics
• Artificial Intelligence
• Algorithms
• Electrical Engineering
• Audio Codecs
• Audio Signal Processing
• C++ (Programming Language)
• Computer Science
• Filter Design
• Scalability
• Head-Related Transfer Function
• Python (Programming Language)
• Noise Control
• NumPy (Python Package)
• SciPy
• Signal Processing
• Simulations
• Technical Documentation
• Localization
• Feature Extraction
• PyTorch (Machine Learning Library)

Job areas

• Technology
• Science & Research
• Software
• Data & Analytics
• Engineering
• Research Audiologist
• Deep Learning Engineer
• Software Developers
• Computer and Information Research Scientists

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