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Principal Audio ML Engineer

10 - 15 years

25 - 35 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

You will join Logitechs Hardware Audio DSP and ML Product team to develop real-time Audio ML solutions that redefine customer audio experiences. The role requires a strong foundation in Audio Machine Learning and Digital Signal Processing.

Responsibilities:

  • Lead and Develop Innovative audio signal processing solutions for Multi-Channel Speech enhancement, Acoustic echo cancellation, Audio event classification, Spatial Audio using deep learning techniques.
  • Lead and work on the end-to-end ML workflow from Data preparation, Model architecture design, Training, Deployment and evaluation of Audio ML targeting resource-constrained platforms such as Tensilica DSP, ARM, RISCV cores.and NPUs.
  • Optimize and enhance algorithm performance under real-world conditions by proposing innovative solutions to complex challenges.
  • Collaborate with cross-functional product teams to deliver seamless audio experiences for customers.

Key Qualifications:

  • 10+ years of experience in Audio signal processing and Machine learning with a proven track record of successfully delivering robust Audio ML solutions on schedule.
  • Strong programming skills and hands-on experience using the following languages and ML frameworks: Python, C, TFL/LiteRT, Tensorflow, ONNX, PyTorch
  • Strong knowledge of Audio Quality and Intelligibility assessment objective and subjective metrics. Adept at identifying audio artifacts and showcasing excellent listening skills.
  • Strong leadership skills and experience working collaboratively with cross-functional teams.
  • Strong problem-solving and communication skills

Additional Skills:

  • Deep understanding of state-of-the-art quantization techniques (e.g., training-aware quantization or mixed precision) to improve runtime efficiency.
  • Identify and resolve performance bottlenecks in ML inference on embedded systems.
  • Experience working on consumer audio products in the full hardware product lifecycle, including mass production.
  • Passionate about Audio ML, being hands on and seeing your work come to life.
  • Staying on top of emerging trends.

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