Intern Researcher – Audio, Speech & Acoustic AI

About the role

Huawei Canada’s CBG team is looking for a motivated intern to join its AI & Signal Processing Research group. You will collaborate with senior researchers to design and prototype cutting‑edge audio, speech and acoustic algorithms.

Key responsibilities

• Design, prototype and evaluate novel audio signal processing and deep‑learning models.
• Build data pipelines for synthetic and real‑world acoustic data, including augmentation and feature extraction.
• Implement clean Python and C++ code to test research hypotheses on benchmark datasets.
• Collaborate with engineering teams to translate research prototypes into scalable product features.
• Document methodologies and results, with potential to publish at top conferences.

Required profile

• Currently pursuing a Master’s or Ph.D. in Electrical Engineering, Computer Science, Audio/Acoustic Engineering or a related field.
• Strong foundation in digital signal processing and/or deep learning for audio.
• Hands‑on experience with PyTorch or TensorFlow.
• Track record of research publications in relevant conferences.

Required skills

• Python (NumPy, SciPy, Librosa, PyTorch‑Audio, Torchaudio)
• C++ programming
• Deep‑learning frameworks (PyTorch, TensorFlow)
• Digital Signal Processing concepts (STFT, filter design, beamforming, room acoustics)