2 months ago
Lausanne, SwitzerlandMid Level
Responsibilities
- Build and manage scalable audio data pipelines and datasets.
- Design and execute audio data collection, curation, labeling, cleaning, and augmentation workflows.
- Develop automated tools to monitor audio data quality and statistical diversity.
- Establish high-quality, versioned, and documented datasets for model training, validation, and benchmarking.
- Evaluate and implement scalable data augmentation techniques and continuous dataset improvement strategies.
- Collaborate on developing and deploying audio machine learning models for Tensilica DSP, ARM, and RISC-V platforms.
- Analyze audio quality and validate model performance across diverse datasets.
- Design, execute, and statistically analyze objective and subjective audio quality evaluations.
Requirements
- At least 3 years of direct experience working with extensive audio datasets and audio machine learning data augmentation or preprocessing.
- Strong proficiency in Python for machine learning model development and data-pipeline automation.
- Expertise building scalable data pipelines and using TensorFlow and Keras with large-scale, complex datasets.
- Bachelor’s or master’s degree in electrical engineering, computer science, or a related discipline, or equivalent practical experience in professional audio machine learning and data engineering.
- Expert-level audio analysis skills, including listening and artifact detection, are preferred.
- Experience designing and statistically analyzing audio quality measurement protocols is preferred.
- Proficiency in C and SQL and experience with Git are valuable assets.
- Strong cross-functional communication, documentation, leadership, and independent problem-solving skills.
Benefits
- Most roles are open to working from home from most locations, with a hybrid model allowing remote or on-premises work depending on the team or department.
- Comprehensive and competitive benefits packages vary by location.
- Flexible working environments and support for physical, financial, emotional, intellectual, and social wellbeing are provided.
Categories
Data EngineeringML Engineering
About Logitech
Logitech builds computer peripherals such as mice, keyboards, webcams, headsets, and video collaboration systems, along with gaming gear and creator tools, sold to consumers and businesses worldwide. Its business centers on hardware with companion software and services, including brands like Logitech G, Streamlabs, and enterprise video conferencing. Founded in 1981 and headquartered in San Jose, California, it is a public company listed on NASDAQ.