Senior Applied Scientist, Personalization

Amazon Science; Seattle (WA); On-site; USD 167,000 - 226,000; Full time

Benefits offered by this job

RSUs

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Science in Seattle, WA is seeking an applied scientist to innovate models that transform the customer shopping experience at scale. You will join a multidisciplinary team spanning science, product, design and engineering to take ideas from concept to deployment for millions of customers.

The role emphasizes mentoring, leadership and advancing a cohesive science agenda across orgs, with a base salary and RSU package and a strong benefits program.

Qualifications

• 3+ years building machine learning models for business applications.
• PhD or Masters degree and 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.

Responsibilities

• Innovate new features and models with huge impact on customer experience.
• Lead multidisciplinary teams from inception to launch across Amazon customers.
• Drive the science roadmap across multiple teams and coordinate a cohesive agenda.
• Mentor applied scientists and grow their skills.

Skills

ML models

Java

C++

Python

Neural networks

Distributed systems

Education

PhD or MS + 6+ years of research

Bachelor degree in relevant field

Tools

TensorFlow

Spark

Hadoop

scikit-learn

Job description

Do you want to transform the way people shop at Amazon? We are looking for stellar applied scientists to be part of our multi-disciplinary team. We are re-imagining the future of the Amazon shopping experience for customers through tailoring it to their current intent. We understand what customers are interested in shopping for, and guide them to discover what they need as they shop. If you love building new technology that helps customers solve their problems, this is your opportunity to impact millions of customers. Come help us build the future of personalized shopping at Amazon!

Key job responsibilities

• Innovate new features and models that have huge impact on the customer experience. Help customers find the right products and content on their shopping journey. Leverage the use of advanced machine learning to create customer shopping experience at Amazon's scale - for all Amazon customers across all countries in realtime
• Be a key leader on a multidisciplinary team across science, product, design, and engineering to see through ideas from inception, prototype, to launch in the hands of all Amazon's customers
• Drive the science roadmap across multiple teams, helping coordinate a cohesive science agenda across the org.
• Mentoring applied scientists across the org, growing their skills and careers.

About The Team

Our vision is to build the next generation of shopping experience at Amazon through personalization and understanding the customer's intent. We imagine our core experiences to work together as a talented personal shopping assistant would - a partner that is knowledgeable, understands your preferences, and helps you find the right solution for your needs. We aim for the quality of personalization to be a core reason customers choose Amazon, on par with Earth's largest selection, low prices, and fast and free shipping.

About Our Organization

Our team is part of Amazon's Personalization organization, a high-performing group that leverages Amazon's expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. We run global experiments and our work has revolutionized e-commerce with features such as "Keep shopping for ...", "Customers who bought this item also bought", and "Frequently bought together". Amazon's internal surveys regularly recognize us as one of the best engineering organizations to work for in the company, with visible high-impact work, low operational load, respectful work-life balance, and continual opportunity to learn and grow.

Basic Qualifications

• 3+ years of building machine learning models for business application experience
• PhD, or Masters degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Preferred Qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually