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Senior Applied Scientist, Amazon Music Search

Senior Applied Scientist, Amazon Music Search

Name: Jobpe
Address: T-Hub, Plot No 1/C, Sy No 83/1, Raidurgam panmaktha, Knowledge City Rd, Hyderabad, Telangana, 500081, IN
Telephone: +91-83339-09630
Price range: Free

Amazon

3 - 8 years

12 - 16 Lacs

Bengaluru

Posted:13 hours ago| Platform:

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Skills Required

deep learning C++ model validation Machine learning Agile Design development Information retrieval model development Distribution system Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Learn more at
Amazon Music Search team is seeking an experienced Applied Scientist who will join a team of experts in the field of machine learning, and work together to break new ground in the world of understanding and classifying different forms of music, and creating interactive experiences to help users find the music they are in the mood for. We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. Youll work in a collaborative environment where you can pursue applied research, with many peta-bytes of data, work on problems that haven t been solved before, quickly implement and deploy your algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers, and publish your research. Youll see the work you do directly improve the experience of Amazon Music customers on Alexa/Echo, mobile, and web. Use machine learning, deep learning, LLMs and NLP techniques to create scalable solutions for business problems Analyze and extract relevant information from large amounts of Amazons data to help automate and optimize key processes Design, development and evaluation of highly innovative models for predictive learning Work closely with software engineering teams to drive model implementations and new feature creations Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation Research and implement novel machine learning and statistical approaches A day in the life Imagine being part of an agile team where your ideas have the potential to reach millions. Picture working on highly impactful consumer-facing products, where every single team member is a critical voice in the decision-making process. Envision being able to leverage the resources of a Fortune-500 company within the atmosphere of a start-up. Welcome to Amazon Music, where ideas are born and come to life as Amazon Music Unlimited, Prime Music, and so much more. 3+ years of building machine learning models for business application experience PhD, or Masters degree and 6+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc.

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Senior Applied Scientist, Amazon Music Search