Expertise Audio & ML
Esprit Startup
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About Waveshaper AI
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 setting.
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 Tensor Flow, Py Torch, 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 fast-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 (Tensor Flow 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
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📌 Senior Audio Ai Engineer (Montreal)
🏢 Waveshaper Technologies
📍 Montreal