Software Engineer, Audio Applied Scientist

Meta; Burlingame (CA); On-site; USD 154,000 - 217,000; Full time

Job summary

Meta in Burlingame, California seeks an experienced Audio Applied Scientist to advance speech and audio processing, combining DSP and ML techniques at scale. You will explore new AI paradigms, optimize for mobile devices, and collaborate with researchers and engineers to shape future audio experiences.

The role emphasizes responsible AI practices, GenAI integration, and delivering measurable impact across Meta's products and platforms for billions of users.

Qualifications

• Bachelor's degree in CS/CE or equivalent practical experience.
• Solid DSP and ML fundamentals.
• 5+ years software development in audio or related domains.
• 3+ years audio software engineering incl DSP/ML in industry.
• Strong cross-disciplinary communication skills.
• Experience with C or C++ and MATLAB/Python.
• Work authorization in the country of employment.
• Experience in areas like small footprint ML, diffusion DSP, echo/noise reduction, spatial processing, hearing aids.

Responsibilities

• Research, design, and develop advanced signal processing algorithms with application to speech and audio.
• Define and build new algorithms and enhancements for human listening and new experiences.
• Build specialized ML for resource-constrained platforms (mobile/wearables).
• Hands-on implementation and optimization of DSP/ML inference engines.
• Contribute to roadmap planning for next-gen platforms.
• Collaborate with researchers, engineers, and cross-functional partners.

Skills

DSP fundamentals

ML fundamentals

Cross-disciplinary collaboration

Communication skills

GenAI knowledge

Responsible AI practices

Signal processing

Education

Bachelor's degree in CS/EE or equivalent

MS/PhD in EE/CS

Tools

C/C++

MATLAB

Python

Job description

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. As an Audio Applied Scientist at Meta, you can help build new, innovative technologies and software that improve 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 be part of a team shaping new products and technologies. We may not have all the answers. But together, we're getting closer.

Required Skills:

Software Engineer, Audio Applied Scientist Responsibilities:

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

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

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

4. Hands-on implementation and optimization of algorithms for classical DSP and ML inference engines

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

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

Minimum Qualifications:

Minimum Qualifications:

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

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

3. 5+ years of software development experience in audio, signal processing, or related technical domains

4. 3+ years relevant audio software engineering experience including DSP/ML audio algorithm development in industry settings

5. Demonstrated communication skills and experience working across disciplines to drive optimal solutions and supporting cross functional teams

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

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

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

Preferred Qualifications:

Preferred Qualifications:

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

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

3. MS or PhD in Electrical Engineering, Computer Science or equivalent

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

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

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

7. Experience developing GenAI systems

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

Public Compensation:

$154,003/year to $217,000/year + bonus + equity + benefits

Industry:

Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Aff

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 [e-mail].