Waveshaper AI revolutionizes audio processing with edge-ready AI that brings studio-quality sound to any device. Our patented audio-to-audio learning technology powers ultra-lightweight neural models for real-time audio processing.
About the Role
We're seeking a Senior Audio AI Engineer with an entrepreneurial mindset to develop neural audio models for edge deployment. Drive breakthrough ML innovations while moving fast in a startup environment.
Key Responsibilities:
- Design and train neural audio processing models for noise reduction, speech enhancement, and quality improvement
- Evaluate audio quality using both subjective listening and objective metrics
- Build scalable ML pipelines and audio data strategies
- Develop model architectures optimized for real-time audio applications
- Implement model compression, quantization, and pruning techniques
- Optimize ML models for edge devices with memory and latency constraints
- Deploy models across diverse platforms and hardware configurations
- Build MLOps pipelines for training, versioning, and automated deployment
- Make technical decisions with incomplete information and iterate rapidly
- Work directly with customers to validate solutions and gather feedback
- Balance technical excellence with product delivery timelines
- Translate audio AI breakthroughs into market-ready features
Qualifications :
- 5+ years audio signal processing and ML model development
- Deep understanding of audio quality metrics and perceptual audio processing
- Experience with neural network architectures for audio applications
- Proficiency with TensorFlow , PyTorch , and audio ML frameworks
- 3+ years experience with model compression and edge deployment
- Knowledge of quantization , pruning , and distillation techniques
- Understanding of resource-constrained optimization
- Experience with MLOps and production ML systems
Startup Mindset
- Entrepreneurial drive to move fast and adapt quickly
- Experience with cloud platforms (GCP/AWS) and ML infrastructure
- Strong Python programming and data engineering skills
- Ability to work in rapid-paced, evolving environments
Preferred Qualifications:
- Degree in Computer Science, Engineering, or related field
- Audio industry or real-time audio systems experience
- Experience with edge ML frameworks (TensorFlow Lite, ONNX)
- Startup environment experience
What We Offer:
- Technical ownership of cutting-edge audio AI technology
- Technical autonomy and direct product impact
- Competitive package in Montreal (remote options available)
Ready to revolutionize audio AI? Join us in building intelligent audio processing for edge devices
📌 Senior Audio AI Engineer (Montreal)
🏢 Waveshaper Technologies
📍 Montreal
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