Software Engineer, Audio Applied Scientist
Menlo Park, CA
Meta
Giving people the power to build community and bring the world closer together
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.Software Engineer, Audio Applied Scientist Responsibilities
$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 benefits at Meta.
Equal Employment Opportunity and Affirmative Action 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, 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. 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. If you need support, please reach out to accommodations-ext@fb.com.
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
- 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.
- 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.
$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 benefits at Meta.
Equal Employment Opportunity and Affirmative Action 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, 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. 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. If you need support, please reach out to accommodations-ext@fb.com.
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Tags: Computer Science Engineering Generative AI Machine Learning Matlab PhD Physics Python Research VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus
Region:
North America
Country:
United States
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