Software Engineer, Audio Applied Scientist

Meta•Redmond, WA

1d•$154,003 - $217,000

About The Position

Meta is seeking experienced Audio Applied Scientists to develop technologies and software that improve how people work, play, and connect, including how they hear virtual and augmented environments and interact with GenAI bots. The role focuses on advancing audio experiences across Meta products and platforms used around the world. It involves researching and developing signal-processing and machine-learning approaches, implementing and optimizing algorithms, planning future platform capabilities, and collaborating with researchers, engineers, and cross-functional partners.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
Solid understanding of digital signal processing (DSP) and machine-learning (ML) fundamentals.
At least 5 years of software development experience in audio, signal processing, or related technical domains.
At least 3 years of relevant audio software engineering experience, including DSP/ML audio algorithm development in industry settings.
Demonstrated communication skills and experience working across disciplines to drive optimal solutions and support cross-functional teams.
Experience with C or C++ and scientific programming languages such as MATLAB, Python, or similar.
Experience in at least one of the following areas: small-footprint ML, differential DSP, echo/noise reduction, spatial processing, or hearing aids.
Must obtain work authorization in the country of employment by the time of hire and maintain ongoing work authorization during employment.

Nice To Haves

Experience implementing responsible and ethical AI practices, such as risk assessment, bias mitigation, and quality and accuracy reviews.
Ongoing AI skill development, such as prompt/context engineering or agent orchestration, and staying current with emerging AI technologies.
MS or PhD in Electrical Engineering, Computer Science, or equivalent.
Track record of innovation demonstrated through products shipped, publications, and/or patents.
Expertise in classical and machine-learning audio signal-processing techniques.
Ability to integrate AI tools to optimize or redesign workflows and drive measurable impact, such as efficiency gains or quality improvements.
Experience developing GenAI systems.
Experience communicating technical concepts to peers, partners, and non-technical stakeholders through written and verbal channels, such as design documents, presentations, and cross-functional reviews.

Responsibilities

Research, design, and develop advanced signal-processing algorithms for speech and audio.
Define and build new algorithms and enhance existing algorithms to support human listening, machine listening, and new communications experiences.
Build specialized machine-learning solutions for resource-constrained platforms such as mobile devices and wearables, and explore new AI and machine-learning paradigms.
Implement and optimize algorithms for classical digital signal processing and machine-learning inference engines.
Contribute to roadmap planning for next-generation platforms.
Collaborate with researchers, scientists, engineers, and cross-functional partners from multiple disciplines.