Expertise Audio & ML

Esprit Startup

_____________

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 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 quick 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 (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