Logitech G is seeking an Audio Machine Learning Data Engineer to develop and manage audio datasets and data pipelines, contributing directly to innovative audio experiences. The ideal candidate will have extensive experience with audio data, proficiency in Python, and expertise in building scalable data pipelines for machine learning applications
Job Summary
As an Audio Machine Learning Data Engineer, you will work on developing and managing our audio datasets and data pipelines, directly influencing innovative audio experiences.
Key responsibilities include ensuring the integrity and quality of audio data pipelines and datasets, and collaborating to develop and deploy audio ML models for resource-limited platforms.
The role involves designing and managing audio data collection, curation, labeling, cleaning, and augmentation pipelines, and building automated tools for data quality monitoring.
Matching Summary
Match Score: 85
Logitech G is seeking an Audio Machine Learning Data Engineer to develop and manage audio datasets and data pipelines, contributing directly to innovative audio experiences. The ideal candidate will have extensive experience with audio data, proficiency in Python, and expertise in building scalable data pipelines for machine learning applications.
Skills & Requirements
Must-have
Audio data pipelines
Machine learning model development
Python for ML and automation
Scalable data augmentation techniques
Data quality and versioning
Nice-to-have
Audio analysis and artifact detection
Data-driven objective and subjective evaluations
Cross-functional communication
Transparency in data and results
Key Requirements
3+ years of experience with audio datasets
Proficiency in Python
Expertise in building scalable data pipelines
Experience with TensorFlow, Keras
Bachelor’s or Master’s degree or equivalent experience