F3 Learning
Applied Scientist, Amazon Connect
F3 Learning, Seattle, Washington, us, 98127
Job ID: 2727945 | Amazon Development Center U.S., Inc.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. 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.
About the teamAWS 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.
Diverse ExperiencesAWS 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.
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 CultureHere 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.
Mentorship & Career GrowthWe’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 BalanceWe 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.
Hybrid WorkWe 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 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.Posted:
October 2, 2024
(Updated 2 days ago)
#J-18808-Ljbffr
Amazon Connect is a highly disruptive cloud-based contact center that enables businesses to deliver engaging, dynamic, and personal customer service experiences. 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.
About the teamAWS 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.
Diverse ExperiencesAWS 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.
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 CultureHere 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.
Mentorship & Career GrowthWe’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 BalanceWe 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.
Hybrid WorkWe 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 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.Posted:
October 2, 2024
(Updated 2 days ago)
#J-18808-Ljbffr