Senior Audio Applied Scientist, Edge Technology
Listed on 2026-07-25
-
Software Development
AI Engineer (Applied/Software), Data Scientist, Machine Learning/ ML Engineer
Description
The Devices and Services org at Amazon has been the innovation engine of consumer electronics at Amazon with the industry-leading Kindle e-readers, Fire tablets, Fire TV, Echo, the most popular smart speaker and Alexa, the leading AI assistant.
Description
The Devices and Services org at Amazon has been the innovation engine of consumer electronics at Amazon with the industry-leading Kindle e-readers, Fire tablets, Fire TV, Echo, the most popular smart speaker and Alexa, the leading AI assistant.
We are looking for Senior Applied Scientist
- Audio to join the Edge Technology team. We are responsible for all of the Echo audio features including Spatial audio and Home Theater. Your work will have a large impact on the lives of Echo customers as music listening is the most popular feature.
In This Role, You Will
- Be the champion of Echo music processing technology innovation from ideation, proof of concept to productization
- Propose new research projects, get buy-in from stakeholders, and lead the team for successful execution
- Work closely with an inter-disciplinary product development team including outside partners to bring the prototype algorithm into commercialization
- Be a team leader in an open and collaborative environment
- 5+ years of industry or academic research experience
- Experience in embedded development in C/C++, or experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Experience in written and oral communication, including the ability to communicate with all levels in the organization (technical, business, executive)
- Proven track record in commercializing innovative audio (music processing especially in spatial audio) algorithms
- Passion for high fidelity music rendering and skilled in critical listening
- Expert knowledge in music signal processing theory and applications- filter design optimization, limiter/compressor, dynamic range compression, up mixing, binaural rendering etc
- Proficient with real-time audio programming in C/C++ and Python/Matlab
- Have peer-reviewed scientific contributions in premier journals and conferences
- Experience with ML application in music processing - generative model (diffusion or auto-encoder) for source separation, up mixing and 3D audio applications
- Basic understanding of physical acoustics, room acoustics, and transducer theory
- Good understanding of a full smart audio system design - microphone array, loudspeaker, ADC, gain stages
- Familiarity with voice processing - beamforming, echo cancellation, noise reduction etc.
- Understanding of music production process- stereo and multichannel audio formats, mixing/mastering and reproduction
- Experience with mentoring junior researchers and graduate interns
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants:
Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.
These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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