Overview

Amazon is looking for creative Applied Scientists to tackle some of the most interesting problems on the leading edge of Machine Learning (ML), Natural Language Processing (NLP), and Information Retrieval (IR) with our Alexa search team. Alexa search is part of our ongoing Alexa Information efforts focused on reinventing information extraction and retrieval for a voice-forward, multi-modal future.

The successful candidate will develop novel ML/NLP/IR/Deep Learning technologies to make Alexa smarter. They will have a true passion for working in a collaborative, cross-functional environment that encourages thinking about optimized solutions to unique problems that do not have yet a known science solution.

If you are looking for an opportunity to solve deep technical problems and build innovative solutions in a fast-paced environment working within a smart and passionate team, this might be the role for you. You will develop and implement novel algorithms and modeling techniques to leverage and advance the state-of-the-art in technology areas that are found at the intersection of ML, NLP, IR, and Deep Learning. Your work will directly impact Amazon products and services that make use of speech and language technology. You will gain hands on experience with Alexa and large-scale computing resources.

In This Role You Will
Work collaboratively with scientists and developers to design and implement automated, scalable NLP/ML/IR models for accessing and presenting information;
Drive scalable solutions from the business, to prototyping, production testing and through engineering directly to production;
Drive best practices on the team, deal with ambiguity and competing objectives, and mentor and guide junior members to achieve their career growth potential.

Company:

Amazon

Qualifications:

Basic Qualifications
PhD in ML, NLP, IR, Computer Science or a related field
3+ years of work experience.
Experience in designing and building large scale ML, NLP, or IR systems.
Record of publication in peer-reviewed journals and conferences in the field.
Preferred Qualifications
Scientific thinking and the ability to invent and simplify, a track record of thought leadership and contributions that have advanced the state of the art in your field of interest.
Expert in at least one more major programming language (C++, Java, or similar) and at least one scripting language (Python, or similar), and one Deep Learning Framework (MXNet, Tensor Flow, etc.).
Excellent verbal/written communication skills, including an ability to effectively collaborate with research and technical teams, earn the trust of your colleagues, and influence senior stakeholders.

Educational level:

Ph. D.

Level of experience (years):

Mid Career (2+ years of experience)

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About Amazon

Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon continues to grow and evolve as a world-class e-commerce platform.

Founded by Jeff Bezos, the Amazon.com website started in 1995 as a place to buy books because of the unique customer experience the Web could offer book lovers. Bezos believed that only the Internet could offer customers the convenience of browsing a selection of millions of book titles in a single sitting. During the first 30 days of business, Amazon fulfilled orders for customers in 50 states and 45 countries - all shipped from his Seattle-area garage.

Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company's DNA. The world's brightest technology minds come to Amazon.com to research and develop technology that improv