Role at a glance
- Job function
-
AI & Data Speech & Audio AI
- Salary
- Not Disclosed
- Location
- New York, New York, United States
- Work arrangement
- On-site
- Education
- Master's, PhD
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Qualifications
Required
- Experience influencing multiple stakeholders and leading cross functional teams across geographies and business units
- PhD in Electrical Engineering, Computer Science, Acoustics, or a related field and 7+ years of relevant research experience after degree, or a Master's degree and 12+ years of equivalent experience
- Deep, hands-on expertise in multi-microphone audio processing, such as beamforming, echo cancellation, and noise suppression
- Track record of designing and shipping audio front-end algorithms on a physical device with its own acoustic challenges, such as a smart speaker, wearable, vehicle, or robot
- Experience influencing hardware decisions on microphone array design and acoustic integration
Preferred
- Experience suppressing device-generated noise from motors, fans, or mechanical vibration
- Experience with sound source localization or tracking moving talkers
- Experience adapting wake word or voice activity detection to noisy, far-field conditions
- Experience optimizing audio algorithms for real-time execution on embedded or edge hardware
- Experience with robotics, or with sensor fusion that combines audio with other sensors such as cameras or joint state
- Experience mentoring scientists and engineers
- Publications and/or patents in audio or speech processing
About the role
Original posting provided by amazon
You will design, prototype, and ship the hardest algorithms in the robot's audio system. You will set the audio architecture that other engineers build on, shape hardware decisions across robot generations, mentor the engineers and scientists working on audio, and be the person teams come to when the robot can't hear.
Key job responsibilities
- Set the long-range science roadmap and technical architecture for the robot's audio system, and serve as Fauna's primary technical authority on robot hearing
- Design and implement suppression of the robot's own noise from motors, fans, and moving joints
- Design and implement echo cancellation for the robot's own voice, so people can interrupt it naturally
- Develop multi-microphone processing that holds up as the robot and the people around it move, including locating who is speaking so the robot can turn toward them
- Make on-robot listening decisions robust to internal and external noise sources: wake word, voice activity, and whether speech is directed at the robot
- Drive microphone and speaker placement, enclosure acoustics, and vibration isolation decisions with mechanical, electrical, and industrial design, backed by your own measurements
- Design the robot-specific data collection and evaluation methods to validate the performance of our audio design
- Present audio science and its tradeoffs to senior leadership and partner teams
- Mentor scientists and engineers, raising the scientific bar for audio across the organization through design reviews, code reviews, and hiring
Basic Qualifications
- Experience influencing multiple stakeholders and leading cross functional teams across geographies and business units- PhD in Electrical Engineering, Computer Science, Acoustics, or a related field and 7+ years of relevant research experience after degree, or a Master's degree and 12+ years of equivalent experience
- Deep, hands-on expertise in multi-microphone audio processing, such as beamforming, echo cancellation, and noise suppression
- Track record of designing and shipping audio front-end algorithms on a physical device with its own acoustic challenges, such as a smart speaker, wearable, vehicle, or robot
- Experience influencing hardware decisions on microphone array design and acoustic integration
Preferred Qualifications
- Experience suppressing device-generated noise from motors, fans, or mechanical vibration- Experience with sound source localization or tracking moving talkers
- Experience adapting wake word or voice activity detection to noisy, far-field conditions
- Experience optimizing audio algorithms for real-time execution on embedded or edge hardware
- Experience with robotics, or with sensor fusion that combines audio with other sensors such as cameras or joint state
- Experience mentoring scientists and engineers
- Publications and/or patents in audio or speech processing
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 218,800.00 - 295,900.00 USD annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.