Senior Applied Scientist, Amazon Shopping Personalization

Amazon; Seattle (WA); On-site; USD 130,000 - 160,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking a Senior Applied Scientist in Seattle to push the boundaries of machine learning and recommendation systems. You will be responsible for developing AI technologies for Personalization, collaborating with engineers and product managers to implement cutting-edge solutions.

Candidates should have a PhD or Master's degree with 6+ years of experience, programming skills in Java, C++, or Python and a strong background in neural deep learning methods. This role offers a comprehensive benefits package and the chance to impact millions of customers.

Qualifications

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

Responsibilities

• Develop AI solutions for recommendation systems using deep learning.
• Collaborate with engineers to implement and launch solutions.
• Conduct A/B experiments to evaluate AI solutions.

Skills

Building machine learning models

Programming in Java, C++, Python

Neural deep learning methods

Advanced analytical techniques

Education

PhD or Master’s degree with 6+ years of experience

Tools

R

scikit-learn

TensorFlow

Spark

Job description

Overview

Job ID: 10438782 | Amazon.com Services LLC

Are you a scientist interested in pushing the state of the art in machine learning and recommendation systems? Are you interested in working on novel ideas that can positively impact millions of customers? Do you wish you had access to large datasets and tremendous computational resources? Answer yes to any of these questions and you will be a great fit for our team at Amazon. As a Senior Applied Scientist in our team, you will be responsible for the research, design, and development of new AI technologies for Personalization. You will adopt or invent new machine learning and analytical techniques in the realm of recommendations and large language models. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include inventing, experimenting with, and launching new features, products and systems.

Responsibilities

• Using Amazon’s large-scale computing resources, you will ask research questions about customer behavior, build state-of-the-art models to optimize the shopping experience, and run these models directly on the retail website.
• Develop AI solutions for Recommendation systems using Deep learning, LLMs, Reinforcement Learning, distillation, and Optimization methods.
• Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end.
• Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses.
• Effectively communicate technical and non-technical ideas with teammates and stakeholders.
• Stay up-to-date with advancements and the latest modeling techniques in the field.
• Publish your research findings in top conferences and journals.

About the team

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”.

Qualifications

Basic Qualifications

• 3+ years of building machine learning models for business applications
• PhD, or Master’s 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.

Benefits and Equal Opportunity

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 .

Job details

• USA, NY, New York

Location

USA, NY, New York