As an Audio Deep Learning Engineer Intern, you will work closely with our engineering and research teams on real-world audio and machine learning problems. This internship provides hands-on experience at the intersection of deep learning, DSP, and embedded systems.
During your internship, you will:
- Assist in the design, development, and evaluation of deep-learning-based audio models and algorithms
- Support research and prototyping efforts for audio processing and enhancement tasks
- Contribute to model optimization, efficiency improvements, and compression experiments
- Help analyze multi-sensor audio data and algorithm behavior
- Collaborate with experienced engineers on tooling, experiments, and deployments
- This is a unique opportunity to gain practical experience working on cutting-edge embedded AI technology while contributing to impactful projects.
What You’ll Work On
Depending on your background and interests, projects may include:
- Developing or refining deep learning models for audio tasks such as speech enhancement, noise reduction, sound event detection, localization, echo cancellation, and related areas
- Experimenting with model efficiency, compression, and optimization techniques
- Working with real audio datasets and multi-sensor inputs
- Building research prototypes and evaluation pipelines
- Supporting deployment and testing workflows
