Machine Learning Audio Research & Development Engineer

Quick Facts

• Role: Research & Development Machine Learning Engineer (Audio)

Description

Develop machine learning model architectures for audio and speech applications, including sound event detection, scene classification, and context understanding. Train, fine-tune, and compress models for production, and build pipelines, datasets, and evaluation frameworks. Work with cross-functional teams to ship products and create intellectual property through patents and publications.

Responsibilities

• Develop ML model architectures for audio problems (sound event detection, scene classification, context understanding)
• Train, fine tune, and compress models for production
• Build workflows: pipelines, datasets, and evaluation frameworks
• Collaborate with cross-functional teams to develop features and ship products
• Create IP via patents and publications

Requirements

• 4+ years experience in machine learning development, including audio and speech applications
• Practical and theoretical knowledge of ML architecture design and training/testing methodologies
• Experience building machine learning pipelines
• Experience optimizing and compressing ML models for resource-constrained platforms
• Excellent software architecture and programming skills in Python, C, C++
• Knowledge of audio technologies
• MS in CS or EE, with industry and research experience

Benefits

• Opportunity to contribute to future audio technologies and high-impact audio features used by millions of customers
• Cross-functional R&D collaboration and product shipping impact
• Ability to create intellectual property through patents and publications