February 
19
2021 Amazon Science Internships

Andrew Jassy

SVP, Amazon Web Services

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9:00am to 10:30am

Introductions + Meet & Greet

Andrew Jassy, SVP at Amazon Web Services will be welcoming our recruites and delivering a brief welcome introduction. This will serve as a great opportunity to meet future team members.

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Clear your calendar - It's going down! Splash Blocks kicks off on April 20th, and you're invited to take part in the festivities. Splash HQ (122 W 26th St) is our meeting spot for a night of fun and excitement. Come one, come all, bring a guest, and hang loose. This is going to be epic!

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Feb 
19
, 
2019
 | 
9:00am
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4:00pm
2021 Amazon Science Internships


 Regarding the uncertainty surrounding COVID-19, the Graduate Research Team at Amazon would like to inform you that the company will still be moving forward with internships for the 2021 year.

 

Amazon interns play a role in building the future for our customers, and this summer, Amazon will host more than 8,000 interns around the world—the company’s largest intern class to date. Along with the curriculum, the internship will include mentorship with tenured Amazonians, opportunities to connect with other interns and a variety of science networking events. Tools like Amazon Chime will help interns connect with teammates, mentors, managers, and other interns.

 
Amazon offers science internships year-round. Projects will depend on a student’s area of research and interest, as well as the team to which they are being placed. The majority of our technical internships take place in the summer and last between 12 to 16 weeks. Internships are a great way to immerse yourself in Amazon’s culture to see if we’re a good fit for you and your career goals.

 
In the event that you'd like to consider an internship opportunity for 2021, please click on the "Submit Your Information to Amazon" button to complete a quick survey! Once completed, we will review your response in order to align you to the appropriate team.


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Science Internship Opportunities at Amazon

Applied Science Intern

Speech Technologies, Computer Vision, Machine Learning, Robotics

ID: 1302686

Research Science

Operations Research

ID: 1229563

Data Science

Data Science Internship

ID: 1235288

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ICASSP Publications


Additional publications can be found at Amazon.Science

 


A Comparison of Pooling Methods on LSTM Models for Rare Acoustic Event Classification

Chieh-Chi Kao, Ming Sun, Weiran Wang, Chao Wang ICASSP 2020


Audio-Attention Discriminative Language Model for ASR Rescoring

Ankur Gandhe, Ariya Rastrow ICASSP 2020

Channel-Attention Dense U-Net for Multichannel Speech Enhancement

Bahareh Tolooshams, Ritwik Giri, Andrew H. Song, Umut Isik, Arvindh Krishnaswamy ICASSP 2020

Deep Contextualized Acoustic Representations For Semi-Supervised Speech Recognition

Shaoshi Ling, Yuzong Liu, Julian Salazar, Katrin Kirchhoff ICASSP 2020

Design Considerations for Hypothesis Rejection Modules in Spoken-Language-Understanding Systems

 Aman Alok, Rahul Gupta, Shankar Ananthakrishnan ICASSP 2020

Efficient Trainable Front-Ends for Neural Speech Enhancement

Jonah Casebeer, Umut Isik, Shrikant Venkataramani, Ritwik Giri ICASSP 2020

Fast Intent Classification for Spoken-Language-Understanding Systems

Akshit Tyagi, Varun Sharma, Rahul Gupta, Lynn Samson, Nan Zhuang, Zihang Wang, William M. Campbell ICASSP 2020

Improving Directedness Classification of Utterances with Semantic Lexical Features

Kellen Gillespie, Ioannis C. Konstantakopoulos, Xingzhi Guo, Vishal Thanvantri Vasudevan, Abhinav Sethy ICASSP 2020

Multilingual Grapheme-to-Phoneme Conversion with Byte Representation

Mingzhi Yu, Hieu Duy Nguyen, Jack Lepird, Jack Lepird, Kanthashree Mysore Sathyendra, Samridhi Choudhary, Siegfried Kunzmann ICASSP 2020

Pseudo Labeling and Negative Feedback Learning for Large-scale Multi-label Domain Classification

Joo-Kyung Kim, Young-Bum Kim ICASSP 2020

Raw Waveform-Based End-to-End Deep Convolutional Network for Spatial Localization of Multiple Acoustic Sources

Harshavardhan Sundar, Weiran Wang, Ming Sun, Chao Wang ICASSP 2020

Robust Multi-Channel Speech Recognition using Frequency Aligned Network

Taejin Park, Kenichi Kumatani, Minhua Wu, Shiva Sundaram ICASSP 2020

Semi-Supervised Text Classification by Gradually Updating Layers

Hanbo Li, Abhinav Sethy

Towards Data-Efficient Modeling for Wake Word Spotting

Yixin Gao, Yuriy Mishchenko, Anish Shah, Spyros Matsoukas, Shiv Vitaladevuni ICASSP 2020

Unsupervised Pre-Training of Bidirectional Speech Encoders via Masked Reconstruction

Weiran Wang, Qingming Tang, Karen Livescu ICASSP 2020

Using VAEs and Normalizing Flows for One-Shot Text-to-Speech Synthesis of Expressive Speech

Vatsal Aggarwal, Marius Cotescu, Nishant Prateek, Jaime Lorenzo-Trueba, Roberto Barra-Chicote ICASSP 2020

Utterance Embedding Learning with Application in Query Rewrite

Zheng Chen, Xing Fan, Yuan Ling, Lambert Mathias, Chenlei Guo ICASSP 2020

Fully Learnable Front-End for Multi-Channel Acoustic Modeling using Semi-Supervised Learning

Sanna Wagner, Aparna Khare, Minhua Wu, Kenichi Kumatani, Shiva Sundaram ICASSP 2020

Few-Shot Acoustic Event Detection via Meta Learning

Bowen Shi, Ming Sun, Krishna Puvvada, Chieh-Chi Kao, Spyros Matsoukas, Chao Wang ICASSP 2020

About Amazon Recruiting

At Amazon, our evolution has been driven by the spirit of innovation that is part of our DNA. As a new college graduate or intern, you can have multiple opportunities to innovate and solve real-world, complex technical and business problems as you join us on our journey. We strive to hire the brightest minds from universities around the globe, and have various career opportunities available for undergraduates and advanced degree students with diverse academic backgrounds.


The work environment here is fast-paced and continually evolving, and every Amazonian is passionate about ownership and delivering results for the company. If you want to work in an environment that will challenge you to relentlessly improve the Amazon experience for our customers, where each day is different from the next, and your learning never truly ends, take a look at Amazon’s many University opportunities.

Speakers

Agenda

9:00am to 10:30am

Introductions + Meet & Greet

Andrew Jassy, SVP at Amazon Web Services will be welcoming our recruites and delivering a brief welcome introduction. This will serve as a great opportunity to meet future team members.

9:00am to 10:30am

Tours & Presentations

Together with Camryn Williams, you will get a detialed look at Amazon’s offices and campus. Amazon Music’s Head of UX & Design, Marisa Gallagher, will be giving her presentation after the tour.

9:00am to 10:30am

Portfolio & Resume Reviews

The last few hours will serve as the perfect opportunity to showcase your skills and experience. Meet some of our veteran team members who will be ready to answer any of your questions.

Opportunities with Amazon 

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