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Facebook Software Engineer Audio Applied Scientist United States, Washington, Redmond 852346071
17.04.2025
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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.
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
- 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 software development experience in industry settings
- 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.
Preferred Qualifications
- MS or PhD 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.
- Excellence in technical communication with peers, partners, and non-technical cohorts.
- Experience developing GenAI systems.
About Meta
$70.67/hour to $208,000/year + bonus + equity + benefits
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 at Meta.
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