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Software Engineer, Audio Applied Scientist

Job in Redmond, King County, Washington, 98052, USA
Listing for: Meta
Full Time position
Listed on 2025-12-28
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 56250 - 173000 USD Yearly USD 56250.00 173000.00 YEAR
Job Description & How to Apply Below

Summary:

We are the teams who create all of Meta's products used by billions of people around the world. Want to build new features and improve existing products like Messenger, Video, Groups, News Feed, Search, AR/VR, GenAI and more? Want to solve unique, large scale, highly complex technical problems? Meta is seeking experienced Audio Applied Scientists to join our teams. You can help build the technologies that help us connect the next billion people, create new features that have billions of interactions per day and be a part of a team that’s working to help people connect with each other around the globe.

Join us!

As an Audio Applied Scientist at Meta, you can help build new, innovative technologies and software that radically redefine the way people work, play and connect and especially how they hear the virtual and augmented world or interact with GenAI bots. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what's to come.

We may not have all the answers. But together, we're getting closer.

Required Skills:

Software Engineer, Audio Applied Scientist Responsibilities:

  • Research, design, and develop advanced signal processing algorithms with application to speech and audio

  • Define and build new algorithms and add enhancements to existing algorithms to support human listening, machine listening, and other new experiences for communications

  • Build specialized Machine Learning (ML) for resource constrained platforms (e.g., mobile/wearables). Explore new paradigms in AI and Machine learning

  • Hands on with implementation and optimization of algorithms classical DSP and ML inference engines

  • Contribute to roadmap planning for the next generation of platforms.

  • Collaborate with other researchers/scientists, engineers, cross-functional partners from multiple disciplines

  • Minimum Qualifications:

    Minimum Qualifications:

  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

  • 2+ years software development experience in industry settings

  • 2+ years relevant audio software engineering experience including DSP/ML audio algorithm development in industry settings

  • Experience with C or C++ and with scientific programming languages such as MATLAB, Python or similar.

  • Experience in any of the following areas:
    Small footprint ML, Differential DSP, Echo/Noise reduction, Spatial Processing, Hearing Aids.

  • Preferred Qualifications:

    Preferred Qualifications:

  • MS in Electrical Engineering, Computer Science or equivalent.

  • Expertise in audio signal processing both classical and machine learning techniques.

  • Proven track record of innovation as demonstrated by products shipped, publications and/or patents.

  • Experience with audio system design including silicon through user experience.

  • Excellence in technical communication with peers, partners, and non-technical cohorts.

  • Experience developing GenAI systems.

  • Public Compensation:

    $56.25/hour to $173,000/year + bonus + equity + benefits

    Industry: Internet

    Equal Opportunity:

    Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

    We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

    Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

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