[AUDITORY] Multiple Applied Science Internship Positions Available in Alexa Speech in Winter, Spring and Summer, 2022 (Tao Zhang )

Subject: [AUDITORY] Multiple Applied Science Internship Positions Available in Alexa Speech in Winter, Spring and Summer, 2022 From: Tao Zhang <0000017a73e85eed-dmarc-request@xxxxxxxx> Date: Sun, 24 Oct 2021 20:51:54 -0500 --000000000000a4e54305cf239b70 Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable *Applied Science Internship - Alexa Speech* Amazon.com Services LLC DESCRIPTION Alexa is the groundbreaking voice service that powers Echo and other devices designed around your voice. Our team is creating the science and technology behind Alexa. We=E2=80=99re working hard, having fun, and making history. Come join our team! You will have an enormous opportunity to impact the customer experience, design, architecture, and implementation of a cutting edge product used every day by people you know. We=E2=80=99re looking for a passionate, talented, and inventive graduate st= udent to help build industry-leading conversational technologies that customers love. Our team's mission is to enable Alexa to interact with customers in a natural, robust and immersive way. As an Applied Science Intern, you will work with talented applied scientists to develop novel algorithms and modeling techniques to advance the state of the art in audio signal processing and automatic speech recognition. Your work will directly impact our customers in the form of novel products and services that make use of speech and language technology. You will leverage Amazon=E2=80=99s heteroge= neous data sources and large-scale computing resources to accelerate advances in speech and language technology. BASIC QUALIFICATIONS =C2=B7 A Ph.D. student in Computer Science, Electrical Engineering = or related field or a master student in Computer Science, Electrical Engineering or related field =C2=B7 Proficient with Python or Matlab =C2=B7 Familiarity with audio and speech signal processing, speech recognition, or machine learning =C2=B7 Good written and spoken communication skills. PREFERRED QUALIFICATIONS =C2=B7 A Ph.D. student in Computer Science, Electrical Engineering = or related field with a specialization in automatic speech recognition, speaker verification, audio, acoustic and speech processing, privacy sensitive machine learning, online incremental learning =C2=B7 Solid publication records =C2=B7 Strong technical curiosity and problem-solving skills =C2=B7 Proficient with Python and C++/Java. Amazon is an Equal Opportunity Employer =E2=80=93 Minority / Women / Disabi= lity / Veteran / Gender Identity / Sexual Orientation / Age Perspective candidates are encouraged to send their CVs to: Tao Zhang, Ph.D. Senior Manager of Applied Science Alexa Edge ML Email: taozhng@xxxxxxxx --000000000000a4e54305cf239b70 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr">Applied Science Internship - Alexa Speech= Amazon.com Services LLC</= p> DESCRIPTION Alexa is the groundbreaking voice service that powers Echo and other device= s designed around your voice. Our team is creating the science and technology behind Alexa. We=E2=80=99re working hard, having fun, and making history. C= ome join our team! You will have an enormous opportunity to impact the customer experien= ce, design, architecture, and implementation of a cutting edge product used eve= ry day by people you know. We=E2=80=99re looking for a passionate, talented, and inventive graduate st= udent to help build industry-leading conversational technologies that customers love= . Our team's mission is to enable Alexa to interact with customers in a n= atural, robust and immersive way. As an Applied Science Intern, you will work with talented applied scientists to develop novel algorithms and modeling techni= ques to advance the state of the art in audio signal processing and automatic sp= eech recognition. Your work will directly impact our customers in the form of no= vel products and services that make use of speech and language technology. You = will leverage Amazon=E2=80=99s heterogeneous data sources and large-scale comput= ing resources to accelerate advances in speech and language technology. BASIC QUALIFICATIONS <= span style=3D"font-size:12pt;font-family:Symbol;color:rgb(17,17,17)">=C2=B7= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 A Ph.D. student in Computer Science, Electrical = Engineering or related field or a master student in Computer Science, Electrical Engineeri= ng or related field = =C2= =B7=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 Proficient with Python or Matlab = =C2= =B7=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 Familiarity with audio and speech signal process= ing, speech recognition, or machine learning <s= pan style=3D"font-size:12pt;font-family:Symbol;color:rgb(17,17,17)">=C2=B7<= span style=3D"font-variant-numeric:normal;font-variant-east-asian:normal;fo= nt-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times = New Roman"">=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 Good written and spoken communication skills.<br= > PREFERRED QUALIFICATIONS <= span style=3D"font-size:12pt;font-family:Symbol;color:rgb(17,17,17)">=C2=B7= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 A Ph.D. student in Computer Science, Electrical = Engineering or related field with a specialization in automatic speech recognition, speake= r verification, audio, acoustic and speech processing, privacy sensitive mach= ine learning, online incremental learning = =C2= =B7=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 Solid publication records = =C2= =B7=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 Strong technical curiosity and problem-solving s= kills = =C2= =B7=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 Proficient with Python and C++/Java. =C2=A0 Amazon is an Equal Opportunity Employer =E2= =80=93 Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age</p= > Perspective candidates are encouraged to se= nd their CVs to: =C2=A0 Tao Zhang, Ph.D. Senior Manager of Applied Science</p= > Alexa Edge ML Email: <a href=3D"mailto:taozhng@xxxxxxxx= zon.com">taozhng@xxxxxxxx</a> =C2=A0</div> --000000000000a4e54305cf239b70--

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