[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: Tue, 8 Dec 2020 21:40:58 -0600 --0000000000008dabfd05b5ffd4f3 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 --0000000000008dabfd05b5ffd4f3 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr">Applied Scientist II - 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 or a Master's Degree in Computer Science, Electrical Engineering or related field plus 4+ years of relevant working e= xperience = =C2= =B7=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 Proficient with Python, C/C++ or Java programmin= g = =C2= =B7=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 Familiarity with audio, acoustic and speech sign= al processing, speech recognition, and machine 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 <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 Disciplined scientific thinking =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 or a Master's Degree in Computer Sc= ience, Electrical Engineering or related field plus 4+ years of relevant working e= xperience in speech recognition, audio, acoustic and speech processing, or deep learn= ing = =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 ability to invent= = =C2= =B7=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 Proficient in machine learning algorithm develop= ment with high memory and computational constraints = =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 Relevant experience working effectively with sci= ence, 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> --0000000000008dabfd05b5ffd4f3--

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Electrical Engineering Dept., Columbia University