[AUDITORY] Applied Scientist II - Alexa Edge ML positions available (Tao Zhang )

Subject: [AUDITORY] Applied Scientist II - Alexa Edge ML positions available From: Tao Zhang <tzhang28@xxxxxxxx> Date: Mon, 18 Jan 2021 21:35:39 -0600 --000000000000f5479b05b93888e2 Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable *Applied Scientist II - Alexa Edge ML* 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 scientist t= o help build industry-leading conversational technologies that customers love. Our team's mission is the 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 or a Master's Degree in Computer Science, Electrical Engineering or related field plus 4+ years of relevant working experience =C2=B7 Proficient with Python, C/C++ or Java programming =C2=B7 Familiarity with audio, acoustic and speech signal processin= g, speech recognition, and machine learning =C2=B7 Excellent written and spoken communication skills =C2=B7 Disciplined scientific thinking 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 or a Master's Degree in Computer Science, Electrical Engineering or related field plus 4+ years of relevant working experience in speech recognition, audio, acoustic and speech processing, or deep learning =C2=B7 Solid publication records =C2=B7 Strong technical curiosity and ability to invent =C2=B7 Proficient in machine learning algorithm development with hi= gh memory and computational constraints =C2=B7 Strong understanding of software engineering best practices =C2=B7 Relevant experience working effectively with science, data processing, 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. Senior Manager of Applied Science Alexa Edge ML Email: taozhng@xxxxxxxx --000000000000f5479b05b93888e2 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr">Applied Scientist II - Alexa Edge ML<= p class=3D"MsoNormal" style=3D"line-height:normal;background:rgb(232,232,23= 2);vertical-align:middle">Amazon.com Services LLC</p= >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=99= re working hard, having fun, and making history. Come join our team! You wi= ll have an enormous opportunity to impact the customer experience, design, = architecture, and implementation of a cutting edge product used every day b= y people you know. We=E2=80=99re looking for a passionate, talented,= and inventive scientist to help build industry-leading conversational tech= nologies that customers love. Our team's mission is the enable Alexa to= understand sounds and vocalization beyond speech. As an Applied Scientist,= you will work with talented peers to develop novel machine learning algori= thms 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 technol= ogy. You will leverage Amazon=E2=80=99s heterogeneous data sources and larg= e-scale computing resources to accelerate advances in spoken language under= standing. You will mentor junior scientists, create and drive new initiativ= es. <= span style=3D"font-size:13.5pt;color:rgb(17,17,17)">BASIC QUALIFICATIONS</s= pan>=C2=B7=C2=A0=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0A PhD deg= ree or equivalent in Computer Science, Electrical Engineering or related fi= eld or a Master's Degree in Computer Science, Electrical Engineering or= related field plus 4+ years of relevant working experience=C2=B7=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0Proficient with Pytho= n, C/C++ or Java programming<spa= n style=3D"font-size:12pt;font-family:Symbol;color:rgb(17,17,17)">=C2=B7<sp= an style=3D"font-variant-numeric:normal;font-variant-east-asian:normal;font= -stretch:normal;font-size:7pt;line-height:normal;font-family:"Times Ne= w Roman"">=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0</span= >Familiarity with audio, acoustic and speech signal pro= cessing, speech recognition, and machine learning=C2=B7=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0=C2=A0=C2=A0Excellent written and spoken comm= unication skills=C2=B7=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0<spa= n style=3D"font-size:12pt;font-family:"Amazon Ember";color:rgb(17= ,17,17)">Disciplined scientific thinking=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, Electrical = Engineering or related field with a specialization in speech recognition, a= udio, acoustic and speech processing, or deep learning or a Master's De= gree in Computer Science, Electrical Engineering or related field plus 4+ y= ears of relevant working 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=A0Solid publication records=C2=B7=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0Strong technical curiosi= ty and ability to invent=C2=B7=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0</s= pan>Proficient in machine learning algorithm development with = high memory and computational constraints=C2=B7=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0=C2=A0Strong understanding of software engine= ering best practices=C2=B7=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0</span= >Relevant experience working effectively with science, data pr= ocessing, and software engineering teams=C2=A0Amazon is an Equal Opportunit= y Employer =E2=80=93 Minority / Women / Disability / Veteran / Gender Ident= ity / Sexual Orientation / Age=C2=A0Perspective candidates are encouraged t= o send their CVs to:=C2=A0Tao Zhang, Ph.D.Senior Manager of Applied Science= Alexa Edge MLEmail:=C2=A0<a href=3D"mailto:taozhng@xxxxxxxx" tar= get=3D"_blank">taozhng@xxxxxxxx</a>=C2=A0</div> --000000000000f5479b05b93888e2--

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Electrical Engineering Dept., Columbia University