Audio Machine Learning Data Engineer

As part of Logitech's Hardware Audio ML & DSP team, you will shape audio ML data ecosystems to power high-quality experiences. You’ll own data pipelines, datasets, and augmentation strategies, collaborating across cross-functional teams to deploy resource-aware models. You’ll influence both data quality and model outcomes on devices with constrained resources. This role offers the chance to impact consumer audio experiences at scale while contributing to a collaborative, inclusive culture.

• comprehensive benefits packages
• flexible work arrangements
• focus on wellbeing (physical, financial, emotional, intellectual, social)
• inclusive culture
• remote/hybrid work options

• Ensure integrity and quality of audio ML data pipelines and datasets, including data augmentation for supervised, unsupervised, and semi-supervised tasks
• Collaborate on developing and deploying ML models targeting resource-constrained platforms (Tensilica DSP, ARM, RISC-V)
• Design and manage audio data collection, labeling, cleaning, and augmentation pipelines
• Evaluate and implement scalable data augmentation techniques
• Maintain high-quality, versioned, and well-documented datasets for training, validation, and benchmarking
• Build automated tools to monitor data quality and diversity
• Develop strategies for continuous improvement of existing datasets

• 3+ years of direct experience with large audio datasets and advanced data augmentation/preprocessing for audio ML
• Strong Python skills for ML development and data pipeline automation
• Experience building scalable data pipelines and using ML frameworks (TensorFlow, Keras) with large datasets

• cross-functional communication
• documentation
• leadership and transparency in data and results
• Python
• TensorFlow
• Keras