Expertise Audio & MLEsprit Startup_____________About Waveshaper AIWaveshaper 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 RoleWe'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 improvementEvaluate audio quality using both subjective listening and objective metricsBuild scalable ML pipelines and audio data strategiesDevelop model architectures optimized for real-time audio applicationsImplement model compression, quantization, and pruning techniquesOptimize ML models for edge devices with memory and latency constraintsDeploy models across diverse platforms and hardware configurationsBuild MLOps pipelines for training, versioning,



and automated deploymentMake technical decisions with incomplete information and iterate rapidlyWork directly with customers to validate solutions and gather feedbackBalance technical excellence with product delivery timelinesTranslate audio AI breakthroughs into market-ready featuresQualifications :5+ years audio signal processing and ML model developmentDeep understanding of audio quality metrics and perceptual audio processingExperience with neural network architectures for audio applicationsProficiency with TensorFlow, PyTorch, and audio ML frameworks3+ years experience with model compression and edge deploymentKnowledge of quantization, pruning, and distillation techniquesUnderstanding of resource-constrained optimizationExperience with MLOps and production ML systemsStartup MindsetEntrepreneurial drive to move fast and adapt quicklyExperience with cloud platforms (GCP/AWS) and ML infrastructureStrong Python programming and data engineering skillsAbility to work in rapid-paced, evolving environmentsPreferred Qualifications:Degree in Computer Science, Engineering, or related fieldAudio industry or real-time audio systems experienceExperience with edge ML frameworks (TensorFlow Lite, ONNX)Startup environment experienceWhat We Offer:Technical ownership of cutting-edge audio AI technologyTechnical autonomy and direct product impactCompetitive package in Montreal (remote options available)Ready to revolutionize audio AI? Join us in building intelligent audio processing for edge devices#J-18808-Ljbffr

📌 Senior Audio Ai Engineer (Côte Saint-Luc)
🏢 Waveshaper AI
📍 Côte Saint-Luc