Lead Audio Codec Development Engineer

vor 3 Wochen


Munich, Bayern, Deutschland Cisco Vollzeit

AI at Cisco

At Cisco, you are not just part of the future; you are instrumental in shaping it. Our focus is on integrating AI into our solutions to revolutionize collaboration, security, networking, observability, and beyond. We are committed to developing ethical AI products and infrastructure that empower our customers to stay ahead of cyber threats, anticipate and avert network disruptions, and enhance the productivity of team meetings. With our vast data sets and extensive customer base, the opportunities to create impactful AI solutions that address a variety of real-world challenges are limitless. Join us at Cisco, where you will collaborate with leading AI experts and contribute to our mission of fostering an inclusive future for everyone.

AI in the Business Unit

The Cisco Collaboration group is at the forefront of utilizing AI to redefine collaboration standards in today's increasingly virtual environment, with offerings that range from contact center solutions to our award-winning Webex suite.

For years, Webex by Cisco has leveraged AI/ML to deliver unparalleled user experiences. It integrates a suite of AI capabilities, including automatic speech recognition (ASR), audio quality enhancement, natural language processing (NLP), computer vision (CV), and employee network graphs and personal profiles. This technology has enabled Webex to introduce features such as transcription, translation, speech enhancement, background noise removal, and gesture recognition. We are just beginning to explore the potential of GenAI, envisioning a future where it can elevate meeting experiences to cinematic quality, facilitate conversational scheduling, and develop innovative features like "prep-me". GenAI is also enhancing our contact center solutions through the ongoing development of virtual agents that provide real-time sentiment analysis, summaries, and customer history.

Our collaboration solutions are relied upon daily by Fortune 500 companies, service providers, governments, educational institutions, and more. Within Cisco Collaboration, you will have a unique opportunity to develop AI that transforms the future of collaboration for millions globally.

Your Impact with AI

Who are we?

The BabbleLabs team, part of Cisco WebEx, consists of talented individuals with strong backgrounds in Electrical Engineering, Machine Learning, Speech Processing, and Computer Science. Our expertise encompasses speech enhancement, speech recognition, speech synthesis, and computer vision, but what truly distinguishes our team is our vibrant and unwavering pursuit of excellence.

What you'll be doing

  • Designing and prototyping algorithms for advanced audio coding, including pre-processing and post-processing techniques to enhance audio quality.
  • Engaging in the productization process of the developed algorithms.
  • Contributing to patent intellectual property.
  • Producing high-quality publications.

Qualifications

10+ years of experience in research, development, evaluation, and productization of speech and audio coding, including methods for:

  • Signal preprocessing techniques for optimal bandwidth utilization,
  • Packet loss concealment,
  • Post-processing methods for enhancing the quality of low-bitrate audio,
  • Pitch estimation,
  • Voice activity detection,
  • Signal classification,
  • Time-scale modification techniques for audio synchronization and network jitter compensation.

Additional Qualifications

  • Strong understanding of modern lossy speech and audio coding standards, including AAC and Opus.
  • Solid background in machine learning and deep neural networks.
  • Extensive knowledge in signal processing, speech modeling, adaptive filtering, and related fields.
  • Experience in rapid algorithm prototyping using MATLAB, Python, or C++.
  • Inquisitive, proactive, and systematic working habits.
  • Proven ability to innovate and make architectural trade-offs for balancing performance and cost.

Bonus qualifications

  • Prior experience in developing deep learning models for one or more of the aforementioned problems.

Education

  • Graduate degree in a relevant field; a Ph.D. is a plus.


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