6 months ago
Chennai, IndiaSenior
Responsibilities
- Train and develop highly optimized audio ML models for deployment on resource-constrained embedded platforms.
- Apply post-training quantization, quantization-aware training, mixed-precision inference, and pruning for efficient on-device inference.
- Optimize algorithm performance in real-world conditions and deliver seamless customer audio experiences.
- Develop production-ready deep learning audio signal processing approaches for speech enhancement, noise suppression, acoustic echo cancellation, and beamforming.
- Design and execute subjective and objective audio quality evaluations using industry-standard audio measurement metrics.
- Identify and resolve audio artifacts within ML audio chains.
- Collaborate with cross-functional product teams and provide technical leadership through documentation, communication, and execution.
Requirements
- 7+ years of experience working hands-on with audio ML training in audio signal processing product teams.
- Deep understanding of on-device quantization, including post-training quantization, training-aware quantization, and mixed-precision inference.
- Strong programming skills in C and Python.
- Experience with production-ready deep learning audio signal processing for speech enhancement, noise suppression, acoustic echo cancellation, and beamforming.
- Proven experience designing and executing subjective and objective audio quality evaluation protocols.
- Demonstrated ability to identify and resolve audio artifacts in ML audio chains.
- Excellent communication, documentation, leadership, and cross-functional collaboration skills.
- Demonstrated ability to deliver results and lead technically both independently and as a contributing team member.
- Bachelor’s or master’s degree in electrical engineering or computer science with practical experience.
Benefits
- Flexible work-from-home and hybrid work arrangements, varying by location, team, or department.
- Comprehensive and competitive benefits packages that vary by location.
- Benefits and support for physical, financial, emotional, intellectual, and social wellbeing.
- Inclusive workplace supporting diversity, equality, and environmental responsibility.
Tech Stack
Categories
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.