Audio AI Engineer

Engineering

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Audio AI Engineer

  • R4416
  • Bay Area, California, United States
  • Engineering
  • Full time

Work Styles at Zoom

In most cases, you will have the opportunity to choose your preferred working location from the following options when you join Zoom: in-person, hybrid or remote. Visit this page for more information about Zoom's Workstyles.

About Us

Zoomies help people stay connected so they can get more done together. We set out to build the best video product for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinar.

We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment.

What You’ll Be Doing:

  • Design and implement machine learning models on front end audio tasks to improve audio quality in Zoom’s online meeting (e.g. Noise Suppression, Voice Activity Detection, Speaker Recognition

  • Handle large amounts of audio data

  • Adapt machine learning and neural network algorithms and architectures to best fit the real-time requirement

  • Partner closely with other audio engineers to test and deploy machine learning models

Your experience should include:

  • Bachelor's degree in Electrical Engineering, Computer Science or related technical field with 7+ years of relevant working experience

  • Enthusiastic in applying Machine Learning or Artificial Intelligence Algorithms to Audio/DSP related tasks

  • Familiar with one or more deep learning toolkits (e.g. Keras, Tensorflow, PyTorch)

  • Ability to run experiments scientifically and analyze results

  • Experience with one or more general-purpose programming languages including but not limited to: Python, C/C++ or Java

You might also have:

  • Masters or Ph.D Degree in Electrical Engineering, Computer Scien or related technical field

  • 3+ years of work experience or Ph.D degree in Machine Learning or digital signal processing

  • 5+ years industry experience with specialization in digital signal processing, machine learning or ASR

  • Hands-on experience in deep learning model optimization like quantization, neural architecture search, pruning

We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines. 

We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law. If you need any assistance or accommodations due to a medical condition, or if you need assistance accessing our website or completing the application process, please let us know by emailing us at careers@zoom.us.

Zoom requires all U.S. employees who will work in person at a Zoom office, attend in-person Zoom meetings or have in-person customer meetings to be fully vaccinated.  Zoom will consider requests for reasonable accommodations for religious or medical reasons as required under applicable law.

At Zoom, we care about our employees, their families, and their well-being. As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. To view our benefits, click here.

Explore Zoom:

#LI-Remote

Fraudulent Employment Offers

Zoom is aware of scams that involve fake Zoom job listings posted on third-party sites. Responding applicants are contacted primarily over email, InMail and/or chat applications by people impersonating Zoom employees. Eventually a fake offer letter is sent in exchange for personal identification information as part of a fake new-hire screening process.

Please be advised that these offers, communications and impersonations are illegitimate and fraudulent. All communication with Zoom employees come from a “@zoom.us” email address. Zoom job applicants complete an interview process including in-person (on Zoom) meetings and phone calls. Our process also requires you to create an account with our applicant tracking system, Workday.

Zoom will never ask for your personally identifying information during the interview process or ask you to pay money or purchase equipment. If you have received a message from Zoom that appears suspicious, please contact careers@zoom.us. 

 

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