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Principal Applied Scientist

Job ID: 1827033 | Amazon.com Services LLC

DESCRIPTION

The Amazon Search team creates powerful, customer-focused search solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, Amazon Search services go to work. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day.

We’re seeking a Principal Scientist with a deep expertise in Computer Vision. Your responsibilities will include everything from developing and prototyping innovative 3D, deep learning and augmented reality algorithms to implementing, testing, and supporting full solutions in a production environment. We are looking for innovators who can contribute to advancing search technology on what’s scientifically possible while remaining committed to creating world-class products.

Joining this team, you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon.com (AMZN), Earth's most customer-centric company one of the world's leading internet companies. We provide a highly customer-centric, team-oriented environment in our offices located in Palo Alto, California.

About the hiring group

Starting in 2009, the Visual Search & Augmented Reality team has thus far launched many visual search solutions on the Amazon App that use computer vision and machine learning/deep learning to help customers complete their shopping missions more easily; multiple internal teams at Amazon (devices, Kindle, Seller services, etc.) also use our libraries and APIs to deliver solutions to their own customers. We are a full stack shop, and our team capabilities cover the whole solution spectrum, ranging across applied science, large scale engineering services, product management, UX design, and mobile app development for iOS and Android.

Job responsibilities

As a hands-on leader of this team, you’ll be responsible for defining key research questions, identifying relevant data, adopting or proposing innovative computer vision and machine learning solutions, conducting rigorous experiments, publishing results and working with the engineering team to deploy these solutions. As a strategic leader, you will identify investment opportunities, develop long term strategies, and propose, prioritize and deliver on goals. You’ll also participate in organizational planning, hiring, mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).

BASIC QUALIFICATIONS

· 10+ years of relevant, broad research experience after PhD degree or equivalent.
· Deep expertise in Computer Vision as well as knowledge of the latest trends in related areas (Machine Learning, NLP).
· Proficiency in programming for algorithm and code reviews.
· Strong core competency in mathematics and statistics.
· Track record of successful projects in algorithm design and product development.
· Publications at top-tier peer-reviewed conferences or journals.
· Strong prior experience with mentorship and/or management of senior scientists and engineers.

PREFERRED QUALIFICATIONS

· Skill and experience with 3D modeling, 3D representation, and/or 3D scene reconstruction.
· Skill and experience with sequence modeling, and/or graph learning.
· Skill and experience with representation learning.
· Excellent communication skills, solid work ethic, and a strong desire to write production-quality code.
· Proven ability to exert technical influence over one or more teams, and drive the collection and analysis of salient new data sets across the large sections of the company.
· Ability to monitor and analyze complex systems to understand, diagnose and continuously improve business and operation parameters
· Proven ability to conduct experiments and rigorous statistical analysis to answer business questions and evaluate products
· Excellent writing skills