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Overview 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.

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

Anforderungen 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