Personalization’s (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
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 - 143,700.00 - 194,400.00 USD annually