Audio ML Data Engineer

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.

As an Audio ML Data Engineer on the Logitech Hardware Audio ML and DSP Product team, you will work on developing and managing our audio datasets and data pipelines. This work directly influences the innovative audio experiences we deliver to our customers.

• Data Pipeline Management:
  Ensuring the integrity and quality of Audio ML data pipelines and datasets, which involves robust data augmentation and managing workflows for supervised, unsupervised, and semi-supervised ML audio applications.
• Model Development and Deployment:
  Collaborating with the team to develop and deploy Audio ML models, specifically targeting platforms with strict resource limitations (such as Tensilica DSP, ARM, and RISC-V).
• Design and manage audio data collection, curation, labeling, cleaning and augmentation pipelines.
• Evaluate and implement scalable data augmentation techniques.
• Establish and maintain high-quality, versioned, documented datasets for training, validation, and benchmarking of audio ML models.
• Build automated tools for monitoring and ensuring the quality and statistical diversity of audio data.
• Formulate and execute strategies for continuous improvement of existing datasets.

Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you’ll need for success at Logitech.

• Minimum 3 years of direct experience working with extensive audio datasets, including advanced data augmentation and preprocessing techniques for audio ML.
• Strong proficiency in Python for ML model development and automating data pipelines.
• Proven expertise in building scalable data pipelines and in employing ML frameworks (Tensor Flow, Keras) with large-scale, complex datasets.

• Expert-level skills in audio analysis, including listening and artifact detection, with a proven track record of validating performance across diverse datasets.
• Strong familiarity with designing, executing, and statistically analyzing audio quality measurement protocols, specializing in data-driven objective and subjective evaluations.
• A data-first mindset, with demonstrated ability to drive innovation independently and as part of a team.
• Proficiency in C and SQL, and experience using code version control systems (Git).
• Excellent cross-functional communication, documentation, and leadership skills, emphasizing transparency in data and results.

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or a related discipline.
• Equivalent practical experience in professional audio ML and data engineering considered; advanced/relevant continuing education preferred.

Our hybrid work model allows a mix of remote and on-premises work. Many of our jobs are open to working from home from most locations.

We offer comprehensive and competitive benefits packages and flexible working environments that support physical, financial, emotional, intellectual, and social wellbeing.

All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

If you require an accommodation to complete any part of the application process, are limited in the ability, or need an alternative method for applying, you may contact us toll-free at  for assistance.