[AUDITORY] Senior Audio Research Engineer @Gracenote

Subject: [AUDITORY] Senior Audio Research Engineer @Gracenote

From: Zafar Rafii <zafarrafii@xxxxxxxxx>

Date: Wed, 27 Feb 2019 14:20:29 -0800

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Reply-to: Zafar Rafii <zafarrafii@xxxxxxxxx>

Sender: AUDITORY - Research in Auditory Perception <AUDITORY@xxxxxxxxxxxxxxx>

Apologies for cross-posting.

Hello community,

Gracenote (a Nielsen company) is hiring a Senior Audio Research Engineer to join the Applied Research group in Emeryville, California. Please see details below. To submit an application, please visit the following link:https://jobs.nielsen.com/job/Emeryville-Sr_-Audio-Research-Engineer-CA-94608/532712800/

Location: Emeryville, CA, US

Explore and Discover Nielsen! With offices located in 110 countries, we are a global independent measurement and big data analytics company focused on your future

Gracenote, a Nielsen Company is the leading provider of entertainment metadata and media recognition technology that powers the top music services, consumer electronics companies, automakers, media companies and cable and satellite operators on the planet. At its core, Gracenote helps connect people with the entertainment they love most.

Gracenote is currently looking for an Audio Research Engineer to join the Applied Research team at Gracenote headquarters in Emeryville, California. Applied Research develops cutting-edge technologies related to music and audio, including audio content recognition, music classification, and audio enhancement solutions. You will be working on exciting projects with other passionate people helping to transform and enhance the way people experience audio and enjoy entertainment worldwide.

Position requirements:

BS with 4+ years of experience in machine learning, audio signal processing, and software development; MS/PhD preferred
2+ years of experience building/testing neural networks (deep learning) for audio or a related domain
Strong machine learning fundamentals (e.g. bias/variance, regularization, etc.) and probability/statistics
Proficiency with a neural net training stack such as Keras/TensorFlow or PyTorch
Proficiency in C, C++, and Python

Desirable:

Passion for audio and music
Knowledge of music information retrieval
Familiarity with AWS or other cloud computing services
Experience with handling large databases

Thank you,

Zafar