Applied Scientist, Onsite Publishing

Job summary
Are you excited about joining a team of scientists building lasting solutions for Amazon customers from the ground up? Our team is using machine learning, and statistical methods to take Amazon’s unique customer obsession culture to another level by designing solutions that change customers behavior when it comes to product search, discovery, and purchase. In order to achieve this, we need scientists who will help us build advanced algorithms that deliver first-rate user experience during customers’ shopping journeys on Amazon, and subsequently make Amazon their default starting point for future shopping journeys. These algorithms will utilize advances in Natural Language Understanding, and Computer Vision to source and understand contents that customers trust, and furnish customers with these contents in a way that is precisely tailored to their individual needs at any stage of their shopping journey.

Key job responsibilities
We are looking for an Applied Scientist to join our rapidly growing Seattle team. As an Applied Scientist, you are able to use a range of science methodologies in NLP/CV to solve challenging business problems when the solution is unclear. For example, you may lead the development of reinforcement learning models such as MAB to rank content to be shown to customers based on their queries. You have a combination of business acumen, broad knowledge of statistics, deep understanding of ML algorithms, and an analytical mindset. You thrive in a collaborative environment, and are passionate about learning. Our team utilizes a variety of AWS tools such as SageMaker, S3, and EC2 with a variety of skillsets in shallow and deep learning ML models, particularly in NLP and CV. You will bring knowledge in many of these domains along with your own specialties and skilset.

Major responsibilities:

• Use statistical and machine learning techniques to create scalable and lasting systems.
• Analyze and understand large amounts of Amazon’s historical business data for Recommender/Matching algorithms
• Design, develop and evaluate highly innovative models for NLP.
• Work closely with teams of scientists and software engineers to drive real-time model implementations and new feature creations.
• Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and implementation.
• Research and implement novel machine learning and statistical approaches, including NLP and Computer Vision

A day in the life
In this role, you’ll be utilizing your NLP or CV skills, and creative and critical problem-solving skills to drive new projects from ideation to implementation. Your science expertise will be leveraged to research and deliver often novel solutions to existing problems, explore emerging problems spaces, and create or organize knowledge around them.

About the team
Our team puts a high value on your work and personal life happiness. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of you. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to establish your own harmony between your work and personal life.

Basic Qualifications

• A PhD in CS, Machine Learning, Statistics, Operations Research or in a highly quantitative field or an MSc. degree with relevant experience
• Broad and deep knowledge of ML
• Comfortable working with SQL
• 2+ years of experience working with Python or similar OO language

Preferred Qualifications

• A PhD in CS, Machine Learning, Statistics, Operations Research or in a highly quantitative field
• 1+ years of industry experience in predictive modeling and analysis
• Superior ML breadth and depth
• Expert skills with machine learning platforms such as PyTorch
• Exceptional problem solver
• Communication and data presentation skills (to business and engineering teams)

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.