Subject: [AUDITORY] Open position at Gracenote / Audio Research Engineer / Emeryville, CA, USA From: Zafar Rafii <zafarrafii@xxxxxxxx> Date: Thu, 4 Jan 2018 10:29:01 -0800 List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>--001a113df38e8f2dae0561f781e9 Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable (apologies for cross-posting) Hi all, Gracenote (http://www.gracenote.com/) is looking for an Audio Research Engineer to join the Applied Research team in Emeryville, CA, USA. Details can be found below and candidates can apply here: https://careers.jobscore.com/careers/gracenote/jobs/audio-research-engineer= -apv28g7n8r54TgdG1ZS6tF?ref=3Drss&sid=3D68 Thank you, Zafar Are you ready to revolutionize entertainment? Gracenote is an entertainment data and technology provider powering the world=E2=80=99s top music services, automakers, cable and satellite operato= rs, and consumer electronics companies. At its core, Gracenote helps people find, discover and connect with the entertainment they love. Daily, Gracenote processes 35 billion pieces of data and is quickly becoming a world-leader in return path =E2=80=9Cbig data.=E2=80=9D Over the past 3 years, the compa= ny has grown to more than 2000 employees in 17 countries, including over 600 of the world= =E2=80=99s top engineers with a passion for music, video, sports, and entertainment technology. Founded in 1998, Gracenote is one of America=E2=80=99s most ico= nic and respected media companies. We are presently looking for an Audio Research Engineer to join the Applied Research team at Gracenote. This team develops cutting edge technologies relating to music and audio, including media recognition, machine listening, data processing pipelines, and recommendation systems. In your role on the team, you will help develop and disseminate these technologies throughout the company and to customers by developing algorithms and tools, creating demo applications, and writing production system components. Applicants should include a cover letter. FOR THIS ROLE WE ARE LOOKING FOR INDIVIDUALS THAT HAVE: - Good programming skills in Python, C/C++, and Matlab - Solid fundamentals (practical and theoretical) in machine learning and digital signal processing - Interested in working on an ever-changing list of audio related projects - Enthusiastic about audio, music, music data, and solving problems in this space - Self starter capable of working independently and across a variety of engineering teams - Masters or PhD in Computer Science, EE, or a related field preferred DESIRABLE: - 2+ years of professional experience in machine learning with audio - Cross platform experience - Linux, Windows, OS X - Versatile candidates with experience in a variety of other languages such as Swift, Objective C, Java, JavaScript, Scala, etc. - Familiarity with music and music technologies (e.g. MIDI, music theory) - Bash and shell scripting experience - Experience handling large amounts of data and familiarity with databases - Experience with accelerated machine learning tools such as Tensorflow, Keras, Theano, Spark etc. - Experience developing end to end project workflow in Machine learning systems - literature review, data collection, building ML system infrastructure, evaluation systems, and productionizing / integration into services - Experience building native applications for Mac, Windows, iOS, and Androi= d - Experience with cloud services such as AWS or Google Cloud - Experience setting up cloud systems involving the Apache technology stack Our passion for music, TV, movies, and sports is at the heart of everything we do. But what really makes us tick is our people. From Emeryville to Sydney and Queensbury to Amsterdam, we are building the team that=E2=80=99s= going to disrupt the digital universe. This starts by creating a workplace where all things entertainment are celebrated and innovation can come from anyone. If you are interested in being mission critical and on the leading edge of global entertainment technology then please contact us today! Gracenote, a Nielsen company, is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. --001a113df38e8f2dae0561f781e9 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr"><div>(apologies for cross-posting)</div><div><br></div><di= v>Hi all,</div><div><br></div><div>Gracenote (<a href=3D"http://www.graceno= te.com/">http://www.gracenote.com/</a>) is looking for an Audio Research En= gineer to join the Applied Research team in Emeryville, CA, USA. Details ca= n be found below and candidates can apply here: <a href=3D"https://careers.= jobscore.com/careers/gracenote/jobs/audio-research-engineer-apv28g7n8r54Tgd= G1ZS6tF?ref=3Drss&sid=3D68">https://careers.jobscore.com/careers/gracen= ote/jobs/audio-research-engineer-apv28g7n8r54TgdG1ZS6tF?ref=3Drss&sid= =3D68</a></div><div><br></div><div>Thank you,</div><div><br></div><div>Zafa= r</div><div><br></div><div><br></div><div><br></div><div>Are you ready to r= evolutionize entertainment?</div><div><br></div><div>Gracenote is an entert= ainment data and technology provider powering the world=E2=80=99s top music= services, automakers, cable and satellite operators, and consumer electron= ics companies. At its core, Gracenote helps people find, discover and conne= ct with the entertainment they love. Daily, Gracenote processes 35 billion = pieces of data and is quickly becoming a world-leader in return path =E2=80= =9Cbig data.=E2=80=9D Over the past 3 years, the company has grown to more = than 2000 employees in 17 countries, including over 600 of the world=E2=80= =99s top engineers with a passion for music, video, sports, and entertainme= nt technology. Founded in 1998, Gracenote is one of America=E2=80=99s most = iconic and respected media companies.=C2=A0=C2=A0</div><div><br></div><div>= We are presently looking for an Audio Research Engineer to join the Applied= Research team at Gracenote. This team develops cutting edge technologies r= elating to music and audio, including media recognition, machine listening,= data processing pipelines, and recommendation systems. In your role on the= team, you will help develop and disseminate these technologies throughout = the company and to customers by developing algorithms and tools, creating d= emo applications, and writing production system components.</div><div><br><= /div><div>Applicants should include a cover letter.</div><div><br></div><di= v><br></div><div>FOR THIS ROLE WE ARE LOOKING FOR INDIVIDUALS THAT HAVE:</d= iv><div><br></div><div>- Good programming skills in Python, C/C++, and Matl= ab</div><div>- Solid fundamentals (practical and theoretical) in machine le= arning and digital signal processing</div><div>- Interested in working on a= n ever-changing list of audio related projects</div><div>- Enthusiastic abo= ut audio, music, music data, and solving problems in this space</div><div>-= Self starter capable of working independently and across a variety of engi= neering teams</div><div>- Masters or PhD in Computer Science, EE, or a rela= ted field preferred</div><div><br></div><div>DESIRABLE:</div><div><br></div= ><div>- 2+ years of professional experience in machine learning with audio<= /div><div>- Cross platform experience - Linux, Windows, OS X</div><div>- Ve= rsatile candidates with experience in a variety of other languages such as = Swift, Objective C, Java, JavaScript, Scala, etc.</div><div>- Familiarity w= ith music and music technologies (e.g. MIDI, music theory)</div><div>- Bash= and shell scripting experience</div><div>- Experience handling large amoun= ts of data and familiarity with databases</div><div>- Experience with accel= erated machine learning tools such as Tensorflow, Keras, Theano, Spark etc.= </div><div>- Experience developing end to end project workflow in Machine l= earning systems - literature review, data collection, building ML system in= frastructure, evaluation systems, and productionizing / integration into se= rvices</div><div>- Experience building native applications for Mac, Windows= , iOS, and Android</div><div>- Experience with cloud services such as AWS o= r Google Cloud</div><div>- Experience setting up cloud systems involving th= e Apache technology stack</div><div><br></div><div>Our passion for music, T= V, movies, and sports is at the heart of everything we do. But what really = makes us tick is our people. From Emeryville to Sydney and Queensbury to Am= sterdam, we are building the team that=E2=80=99s going to disrupt the digit= al universe. This starts by creating a workplace where all things entertain= ment are celebrated and innovation can come from anyone. If you are interes= ted in being mission critical and on the leading edge of global entertainme= nt technology then please contact us today!</div><div><br></div><div>Gracen= ote, a Nielsen company, is committed to hiring and retaining a diverse work= force. We are proud to be an Equal Opportunity/Affirmative Action-Employer,= making decisions without regard to race, color, religion, gender, gender i= dentity or expression, sexual orientation, national origin, genetics, disab= ility status, age, marital status, protected veteran status or any other pr= otected class.</div><div><br></div></div> --001a113df38e8f2dae0561f781e9--