音频应用科学家软件工程师

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 implementation and optimization of algorithms for classical DSP and ML inference engines

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

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

Solid understanding in fundamentals of Digital Signal Processing (DSP) and Machine Learning (ML)

5+ years of software development experience in audio, signal processing, or related technical domains

3+ years 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 supporting cross functional teams

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

Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Experience communicating technical concepts to peers, partners, and non-technical stakeholders through written and verbal channels (e.g., design docs, presentations, cross-functional reviews)

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Individual compensation is determined by skills, qualifications, experience, and location.

Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable.

In addition to base compensation, Meta offers benefits.

Learn more about benefits at Meta.

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We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

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You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

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

Solid understanding of the fundamentals of Digital Signal Processing (DSP) and Machine Learning (ML).