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

Subject: [AUDITORY] Applied Scientist III - Alexa Edge ML positions available From: Tao Zhang <tzhang28@xxxxxxxx> Date: Tue, 8 Dec 2020 21:39:20 -0600 --000000000000b5d50f05b5ffce75 Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable *Applied Scientist III - 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 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. Senior Manager of Applied Science Alexa Edge ML Email: taozhng@xxxxxxxx --000000000000b5d50f05b5ffce75 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr">Applied Scientist III - Alexa Edge ML 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 scientist t= o help build industry-leading conversational technologies that customers love. Our team&= #39;s mission is the enable Alexa to understand sounds and vocalization beyond speech. As an Applied Scientist, you will work with talented peers to devel= op novel machine learning algorithms and modeling techniques to advance the st= ate of the art in speech and audio processing. Your work will directly impact o= ur customers in the form of novel products and services that make use of speec= h and language technology. You will leverage Amazon=E2=80=99s heterogeneous d= ata sources and large-scale computing resources to accelerate advances in spoken langua= ge understanding. You will mentor junior scientists, create and drive new initiatives. 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 PhD degree or equivalent in Computer Science, = Electrical Engineering or related field plus 4+ years of relevant working experience o= r a Master's Degree in Computer Science, Electrical Engineering or related field plus 6+ years of relevant working experience <p class=3D"gmail-MsoListParagraphCxSpMiddle" style=3D"margin-bottom:0.0001= pt;line-height:15pt;background-image:initial;background-position:initial;ba= ckground-size:initial;background-repeat:initial;background-origin:initial;b= ackground-clip:initial">=C2=B7=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0 Experience programming in Java, C++, Python or related= language <p class=3D"gmail-MsoListParagraphCxSpLast" style=3D"margin-bottom:0.0001pt= ;line-height:15pt;background-image:initial;background-position:initial;back= ground-size:initial;background-repeat:initial;background-origin:initial;bac= kground-clip:initial">=C2=B7=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0=C2=A0=C2=A0 3+ years of experience of building machine learning mo= dels for business application =C2=A0</sp= an> 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 PhD degree in Computer Science, Electrical Eng= ineering or related field with a specialization in speech recognition, audio, acoustic = and speech processing, or deep learning plus 4+ years of relevant working exper= ience or a Master's Degree in Computer Science, Electrical Engineering or rel= ated field plus 6+ years 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 Excellent written and spoken communication skill= s = =C2= =B7=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 Strong technical curiosity and ability to invent= = =C2= =B7=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 Expert 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 Disciplined scientific thinking = =C2= =B7=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 Strong publication records = =C2= =B7=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 Strong technical leadership = =C2= =B7=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 Strong ability to work effectively with science,= data processing, and software engineering teams =C2=A0 Amazon is an Equal Opportunity Employer =E2= =80=93 Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age</p= > =C2=A0 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> --000000000000b5d50f05b5ffce75--

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Electrical Engineering Dept., Columbia University