Software Development Engineer II, Amazon Shopping Personalization

Amazon.com, Inc.
Seattle, United States of America
4 days ago

Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior
Compensation
$ 194K

Job location

Seattle, United States of America

Tech stack

Java
Software Applications
Computer Vision
Big Data
C Sharp (Programming Language)
C++
Code Review
Computer Programming
Data Mining
Perl
Information Retrieval
Machine Learning
Natural Language Processing
Recommender Systems
Software Engineering
Multithreading
Large Language Models
Build Process
Machine Learning Operations
Software Coding
Software Version Control

Job description

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.

Requirements

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

Benefits & conditions

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

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