Software Development Engineer II, Amazon Shopping Personalization

Amazon


Job Location:

Seattle, OR - USA

Monthly Salary: Not Disclosed
Posted on: 11 days ago
Vacancies: 1 Vacancy

Department:

Software Development

Job Summary

Personalizations (P13N) mission is to make Amazon more valuable for customers through relevant and timely product program and content recommendations and engaging shopping experiences. We delight customers by discovering the right items for them and making purchase decisions easier. We build systems and technology to enable teams across Amazon to personalize every customer interaction and optimize every aspect of these interactions using our proven techniques.

As a member of the Product Similarities team within Personalization you will play a key role in shaping the next generation of product understanding and recommendation systems. Our technical strategy combines product information customer behavior world knowledge and contextual signals through advanced machine learning models and multimodal LLMs to deliver real-time and highly personalized recommendations for hundreds of millions of customers. You will help bring cutting-edge research from theory to large-scale production systems tackling challenges in performance scalability and resiliency. The ideal candidate thrives in rapid experimentation maintains a high engineering bar and can drive ambiguous problems from concept to implementation. Experience in areas such as Machine Learning Natural Language Processing Computer Vision LLMs or Recommendation Systems is highly valued.

Key job responsibilities
* Design and develop robust and scalable machine learning systems that process large volumes of data
* Applying the latest in machine learning research to solving very large scale problems
Influence decisions in choosing the right technology to build components.
* Join a great group of motivated people and work with them to solve interesting and useful problems in a fun collaborative environment.

- 3 years of non-internship professional software development experience
- 1 years of designing and developing large-scale multi-tiered multi-threaded embedded or distributed software applications tools systems and services using: C# C Java or Perl experience
- Experience programming with at least one software programming language

- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Experience in machine learning data mining information retrieval statistics or natural language processing
- Knowledge of Machine Learning and LLM fundamentals including transformer architecture training/inference lifecycles and optimization techniques

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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 143700.00 - 194400.00 USD annually


Required Experience:

IC

Personalizations (P13N) mission is to make Amazon more valuable for customers through relevant and timely product program and content recommendations and engaging shopping experiences. We delight customers by discovering the right items for them and making purchase decisions easier. We build systems...

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