Audio Machine Learning Data Engineer

Logitech is seeking an Audio Machine Learning Data Engineer to join their Hardware Audio Machine Learning and DSP Product team. The successful candidate will work on developing and managing audio datasets and data pipelines, directly influencing the innovative audio experiences delivered to customers.

Responsibilities:

• Manage data pipelines and datasets for audio machine learning applications
• Develop and deploy audio machine learning models targeting platforms with strict resource limitations
• Design and manage audio data collection, curation, labeling, cleaning, and augmentation pipelines
• Evaluate and implement scalable data augmentation techniques
• Establish and maintain high-quality datasets for training, validation, and benchmarking of audio machine learning models
• Build automated tools for monitoring and ensuring data quality
• Formulate and execute strategies for continuous improvement of existing datasets

Key Qualifications:

• 3+ years of experience working with extensive audio datasets
• Strong proficiency in Python for machine learning model development and data pipeline automation
• Expertise in building scalable data pipelines and employing machine learning frameworks

Preferred Qualifications:

• Expert-level skills in audio analysis and listening
• Familiarity with designing and executing audio quality measurement protocols
• Strong data-first mindset and ability to drive innovation
• Proficiency in C and SQL

Education:

• Bachelor's or Master's degree in Electrical Engineering, Computer Science, or a related discipline