Remote Audio ML Data Engineer - Data Pipelines & Model Dev

Logitech; Lausanne; Hybrid; CHF 90.000 - 130.000; Vollzeit

Zusammenfassung

Logitech is seeking an Audio Machine Learning Data Engineer to join the Hardware Audio ML and DSP Product team. You will manage audio datasets and data pipelines to influence innovative audio experiences for users worldwide.

The role requires 3+ years in audio data handling, strong Python skills, and experience with ML frameworks like TensorFlow and Keras. Hybrid work options are available, reflecting Logitech’s flexible approach to work locations.

Qualifikationen

• 3+ years of direct experience working with extensive audio datasets and data augmentation for audio ML.
• Proficiency in Python for ML model development and automating data pipelines.
• Experience building scalable data pipelines and using TF/Keras with large, complex data sets.

Aufgaben

• Manage and improve audio data pipelines and datasets, including augmentation and labeling workflows.
• Develop and deploy Audio ML models targeting resource-constrained platforms (e.g., Tensilica DSP, ARM, RISCV).
• Design and maintain audio data collection, curation, labeling, cleaning and augmentation processes.
• Evaluate and implement scalable data augmentation techniques for robust models.
• Establish and maintain high-quality, well-versioned datasets for training, validation and benchmarking.
• Build automated tools to monitor data quality and diversity across datasets.
• Drive continuous improvement of datasets and data governance.

Kenntnisse

Audio data

Python

Data pipelines

ML frameworks

Ausbildung

BSc/ MSc in EE or CS

Tools

TensorFlow

Keras

Git

Jobbeschreibung

Logitech is seeking an Audio Machine Learning Data Engineer to join the Hardware Audio ML and DSP Product team. You will manage audio datasets and data pipelines to influence innovative audio experiences for users worldwide.

The role requires 3+ years in audio data handling, strong Python skills, and experience with ML frameworks like TensorFlow and Keras. Hybrid work options are available, reflecting Logitech’s flexible approach to work locations.