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Sr. Manager, Applied Science, Amazon Search

Job ID: 2194329 | Amazon.com Services LLC

DESCRIPTION

Job summary
Interested in using AI to improve the shopping experience of millions of customers? Amazon Search has the perfect job for you.

Amazon is among the top 10 most-visited website worldwide. About half of Amazon customers purchase products through Amazon Search. Our vision is to help customers shop with ease and confidence. We use deep learning, reinforcement learning, and other AI techniques to optimize our customer’s experience. We pride ourselves with making positive impact on millions of customers every day.

According to a survey by the National Retail Federation, 46% of online shoppers are simply browsing for inspiration. In the next three years, we will expand Amazon from a place that primarily serves customers on a buying mission, to a place customers enjoy turning to for shopping inspiration. We create experience worldwide that is attractive to diverse customers by dynamically serving content based on customers’ interests and preferences and allowing customers to seamlessly perform multi-modal search using voice, text, and images. We invite you to join us on this journey of transformation.

Key job responsibilities
As the Sr. Manager of Applied Science, you are responsible for defining and executing on the science vision. You will lead teams of scientists and engineers to work backwards from customer needs and translate product ideas into concrete deliverables. You will be the thought leader for inventing scalable AI solutions that support flexible UI frameworks. You will solve hard problems, advance science at Amazon, and be the leading innovator in e-commerce. You will be a member of the core executive group that influences the business strategy across many organizations.

A day in the life
Every day we face the challenges of a fast-paced market and expanding technology set. Every day is Day One. If you enjoy challenges and learning new things, this is an ideal job for you.

About the team
The Autocomplete team's mission is to assist customers expressing what they are looking for with minimum effort. We delight customers by allowing customers to use any means of search they prefer: asking Alexa, taking a photo of a fashion magazine page, or typing. We create shopping experiences that make our customers feel like they have a personal shopping assistant guiding them through their shopping journey. Whether a customer is looking for shopping inspiration or knows exactly what to buy, we surface the right suggestions personalized to each customer's unique shopping needs. We grow our relationship with customers by leveraging our deep understanding of their shopping mission to provide relevant and timely suggestions.

In this role, you will work with a team of applied scientists, engineers, product managers, and UX designers to shape the future of Amazon shopping. You will be working with massive data and draw insights. Your team’s work is visible to millions of customers.

BASIC QUALIFICATIONS

· Master's degree in Computer Science, Statistics, Electrical Engineering, or Mathematics with specialization in specialization in statistical modeling, deep learning, reinforcement learning, or personalized recommendation.
· 10+ years of working experience in solving machine learning problems and deploying science solutions for large-scale applications
· 3+ years of managing experience of scientists and engineers
· Knowledge of programming languages such as C/C++, Python, Java
· Excellent written and verbal communication skills

PREFERRED QUALIFICATIONS

· PhD degree in Computer Science, Statistics, Electrical Engineering, or Mathematics with specialization in specialization in statistical modeling, deep learning, reinforcement learning, or personalized recommendation.
· 15+ years of working experience in solving machine learning problems and deploying science solutions for large-scale applications
· 5+ years of managing experience of scientists
· Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field
· Solid software development experience
· Experience in delivering science solution for customer-facing features in e-commerce



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.