Audio Algorithm Engineer

Engineering Windsor, United Kingdom


Description

Position at Logitech

Audio Machine Learning Engineer: 

Our Video Collaboration products help companies stay connected and can be found in the conference rooms of some of the biggest businesses in the world. We are a small nimble group and we are growing our engineering team. We create amazing experiences in the conference room using creative design, surprising science, and innovation. We love what we do because we are passionate about connecting people and we use the products we create every day to stay connected to our team. 

Want to be part of this team of collaboration innovators? We are looking for a talented Senior Audio Architect to be part of a small team of developers focused on making video collaboration an amazing experience and the products you create will be used by thousands of people every day. 

Your Contribution: Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. These are the behaviors you’ll need for success at Logitech. In this role 

  • You will have practical knowledge of audio streaming processing techniques and machine learning in audio systems and especially deep learning approaches and may in future involve application in the Audio domain such as NLP or Audio Analytics

  • You will have passion to work on new and disruptive AI/deep learning/machine learning solutions in the field of improving audio processing.

  • You will design and implement machine learning approaches that will run in realtime embedded hardware.

  • You would be up to date on the latest developments in the field of AI/Machine Learning/Deep learning and by reading relevant papers/journals and applying the new learnings to create great meeting room experiences.

  • You will evaluate, analyze and optimize system resources related to audio processing and machine learning

  • You will have practical knowledge of audio streaming processing techniques and approaches for realtime communications.

  • You will understand audio concepts such as: objective acoustic testing standards, frequency domain representations, as well as magnitude and phase of audio.

  • You will have passion to work on new and disruptive techniques such as AI/deep learning/machine learning solutions in the field of improving audio processing.

 

Key Qualifications:

  • 2+ Proficiency in coding with C/C++, Python, Lua, R, MATLAB or similar.

  • 2+ years’ experience in Machine Learning technologies and tools, such as training framework and TensorFlow / PyTorch.

  • 2+ years of deep experience with ARM/Cortex cores as a software engineer

  • 2+ years of good experience with Python, building packages, and developing in a team or on open-source projects.

  • Understanding of open source audio data repositories, such as TIMIT and MUSAN.

  • Knowledge of realtime digital audio communication algorithms and approaches

  • Proficient in performance analysis and optimization techniques.

  • Experience developing on at least one ARM-based mobile/embedded platform. 

  • Finished a project in the role of audio Machine Learning engineer

  • Experience in using Source Control / Project Tracking systems (Github, Jira). 

  • Attention to details and ability to work independently

  • Experience developing realtime systems with low latency and high data rates

  • Proficient in performance analysis and optimization techniques.

  • Experience deploying machine learning systems, using TensorFlow Lite, inference engines, or similar.

  • Experience with data ingestion pipelines, for example using TF Data, or interfacing MongoDB, or SQL with machine learning frameworks.

  • AWS EC2 training experience or similar.

  • Preferred Qualifications:

    • Programming experience on Android platforms is a plus

    • Porting of algorithms into multiple processors, such as ARM, GBU, or DSP 

  • Education:

    • B.S, M.S. or Ph.D. in Computer science, Electrical Engineering or a related field

Logitech is the sweet spot for people who are passionate about products, making a mark, and having fun doing it. As a company, we’re small and flexible enough for every person to take initiative and make things happen. But we’re big enough in our portfolio, and reach for those actions to have a global impact. That’s a pretty sweet spot to be in and we’re always striving to keep it that way.

 “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, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at 510-713- 4866 for assistance.

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