Job Information
Amazon Applied Scientist, Amazon Connect in Seattle, Washington
Description
We are looking for an audio applied scientist with experience and expertise in speech and audio signal processing, machine learning, automatic speech recognition, and/or natural language processing to work on state-of-the-art solutions for applications including speech enhancement, voice analytics, and real-time transcription of conversational audio.
Amazon Connect is a highly disruptive cloud-based contact center that enables businesses to deliver engaging, dynamic, and personal customer service experiences. Amazon Connect is the result of the ten years of development that went into building the tools Amazon uses to provide its award winning customer service at massive and launching it as a publicly available service. With Amazon Connect, you can create your own cloud-based contact center and be taking calls in minutes. Our team’s charter as part of the Amazon Connect organization is to think big, re-imagine, innovate, and deliver novel, state-of-the-art solutions to audio and video problems. We are interested in all aspects of audio, video, and media technology, and we leverage the latest machine learning and signal processing techniques to surprise and delight our customers. Our applications include real-time audio/video communications, audio/video scene analysis, anomaly detection, audio/speech/music/image/video processing, enhancement, analysis, synthesis and coding.
We have the nimbleness of a small startup but, at the same time, the immense resources of AWS - the world leader in cloud computing - behind us as well. If you want to innovate on the cutting edge while having a profound and direct impact on the end customer experience, this is the team to be on!
About the team
AWS Applications and Higher Level Abstractions (Apps) provides horizontal and industry vertical applications for business users with the same on-demand scalability, reliability, pay-as-you-go pricing, and machine learning expertise that drive AWS services. The AWS Applications group includes services such as Amazon Connect (a cost-effective cloud contact center), our End User Computing (including Amazon Workspaces, AppStream, etc.), Marketing Tech (Amazon Pinpoint), and Autonomous Checkout and Biometric Identity Services (Just Walk Out, Amazon One) for retail, sports, travel, and other verticals.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.
Basic Qualifications
PhD, or Master's degree and 4+ years of DSP, ML, CS or related field experience
Experience working with speech and audio signals
Track record of publication
Experience with machine learning, speech and audio signal processing, spatial audio, statistical modeling techniques
Experience with programming languages such as C/C++ and Python.
Preferred Qualifications
PhD in DSP, ML, CS
Strong publication record
Professional experience software design and development skills
Experience working with speech and audio signals
Experience working effectively with science, data processing, and software engineering teams
Proven track record of innovation and advancing the state of the art.
Entrepreneurial spirit combined with strong architectural and problem solving skills.
Excellent written and spoken communication skills.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.