[AUDITORY] Applied Scientist III - Alexa Speech Available (Tao Zhang )

Subject: [AUDITORY] Applied Scientist III - Alexa Speech Available From: Tao Zhang <tzhang28@xxxxxxxx> Date: Tue, 15 Sep 2020 20:48:27 -0500 --0000000000007b04aa05af6477e4 Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable 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 scientist t= o help build industry-leading conversational technologies that customers love in the US or at Aachen, Germany. Our team's mission is to enable Alexa to understand sounds and vocalization beyond speech. As an Applied Scientist, you will work with talented peers to develop novel machine learning algorithms and modeling techniques to advance the state of the art in speech and audio processing. 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 heterogeneous data = sources and large-scale computing resources to accelerate advances in spoken language understanding. You will mentor junior scientists, create and drive new initiatives. BASIC QUALIFICATIONS =C2=B7 A PhD degree or equivalent in Computer Science, Electrical Engineering or related field plus 4+ years of relevant working experience or a Master's Degree in Computer Science, Electrical Engineering or related field plus 6+ years of relevant working experience =C2=B7 Experience programming in Java, C++, Python or related langu= age =C2=B7 3+ years of experience of building machine learning models f= or business application PREFERRED QUALIFICATIONS =C2=B7 A PhD degree in Computer Science, Electrical Engineering or related field with a specialization in speech recognition, audio, acoustic and speech processing, or deep learning plus 4+ years of relevant working experience or a Master's Degree in Computer Science, Electrical Engineering or related field plus 6+ years of relevant working experience in speech recognition, audio, acoustic and speech processing, or deep learning =C2=B7 Excellent written and spoken communication skills =C2=B7 Strong technical curiosity and ability to invent =C2=B7 Expert in machine learning algorithm development with high m= emory and computational constraints =C2=B7 Disciplined scientific thinking =C2=B7 Strong publication records =C2=B7 Strong technical leadership =C2=B7 Strong understanding of software engineering best practices =C2=B7 Strong ability to work effectively with science, data proces= sing, and software engineering teams 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. Alexa Edge ML Email: taozhng@xxxxxxxx --0000000000007b04aa05af6477e4 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr">Alexa is the groundbreaking voice service that powers Echo and other= devices designed around your voice. Our team is creating the science and t= echnology behind Alexa. We=E2=80=99re working hard, having fun, and making = history. Come join our team! You will have an enormous opportunity to impac= t the customer experience, design, architecture, and implementation of a cu= tting edge product used every day by people you know. We=E2=80=99re = looking for a passionate, talented, and inventive scientist to help build i= ndustry-leading conversational technologies that customers love in the US o= r at Aachen,=C2=A0Germany. Our team's mission is to enable Alexa to und= erstand sounds and vocalization beyond speech. As an Applied Scientist, you= will work with talented peers to develop novel machine learning algorithms= and modeling techniques to advance the state of the art in speech and audi= o processing. Your work will directly impact our customers in the form of n= ovel products and services that make use of speech and language technology.= You will leverage Amazon=E2=80=99s heterogeneous data sources and large-sc= ale computing resources to accelerate advances in spoken language understan= ding. You will mentor junior scientists, create and drive new initiatives.<= br> <span= style=3D"font-size:13.5pt;color:rgb(17,17,17)">BASIC QUALIFICATIONS= =C2=B7=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0A PhD degree= or equivalent in Computer Science, Electrical Engineering or related field= plus 4+ years of relevant working experience or a Master's Degree in C= omputer Science, Electrical Engineering or related field plus 6+ years of r= elevant working experience<p style=3D"margin-bottom:0.0001pt;lin= e-height:15pt;background-image:initial;background-position:initial;backgrou= nd-size:initial;background-repeat:initial;background-origin:initial;backgro= und-clip:initial">=C2=B7=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0Experience programming in Java, C++,= Python or related language<p style=3D"margin-bottom:0.0001pt;li= ne-height:15pt;background-image:initial;background-position:initial;backgro= und-size:initial;background-repeat:initial;background-origin:initial;backgr= ound-clip:initial">=C2=B7=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A03+ years of experience of building m= achine learning models for business application=C2=A0PREFERRED QUALIFICATIONS=C2=B7=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0A PhD degree in Computer Science, El= ectrical Engineering or related field with a specialization in speech recog= nition, audio, acoustic and speech processing, or deep learning plus 4+ yea= rs of relevant working experience or a Master's Degree in Computer Scie= nce, Electrical Engineering or related field plus 6+ years of relevant work= ing experience in speech recognition, audio, acoustic and speech processing= , or deep learning=C2=B7=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= Excellent written and spoken communication skills<p= style=3D"line-height:normal">=C2=B7=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0Strong technical c= uriosity and ability to invent<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=C2=A0</sp= an>Expert in machine learning algorithm development wit= h high memory and computational constraints=C2=B7=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0=C2=A0Disciplined scientific thinking<= /p>=C2=B7=C2=A0=C2=A0=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0Strong publicat= ion records=C2=B7= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0Strong technical leadership=C2= =B7=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= Strong understanding of software engineering bes= t practices=C2=B7= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0Strong ability to work effectively with science, data processing, and= software engineering teams=C2=A0Amazon is an Equal Opportunity Employer = =E2=80=93 Minority / Women / Disability / Veteran / Gender Identity / Sexua= l Orientation / Age=C2=A0Perspective candidates are encouraged to send thei= r CVs to:<spa= n style=3D"font-size:12pt;font-family:"Amazon Ember";color:rgb(17= ,17,17)">=C2=A0Tao Zhang, Ph.D.Alexa Edge MLEmail:=C2=A0<a href=3D"m= ailto:taozhng@xxxxxxxx" target=3D"_blank">taozhng@xxxxxxxx</a></div= > --0000000000007b04aa05af6477e4--

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Electrical Engineering Dept., Columbia University