Software Development Engineer II, P13N

Global technology company focused on e-commerce, cloud computing, digital streaming, and artificial intelligence.
$129,300 - $223,600
Machine Learning
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS · E-Commerce

Description For Software Development Engineer II, P13N

Amazon's Personalization (P13N) team is seeking a Software Development Engineer II to join their Product Graph team. This role focuses on building next-generation product understanding solutions using advanced machine learning models and LLMs. The position involves integrating product attributes, customer behavior, world knowledge, and contextual data to enhance the shopping experience across Amazon's platforms.

The role offers an exciting opportunity to work on large-scale machine learning systems that directly impact millions of customers' shopping experiences. You'll be part of a team that's building an API-first framework that will serve as the foundation for various Amazon initiatives including Search, Personalization, and Advertising.

The position requires strong technical skills in machine learning and software development, with opportunities to work on challenging problems in areas such as Natural Language Processing, Text Mining, and Recommendation Systems. You'll be implementing academic research into production systems while solving complex challenges related to performance, scalability, and resiliency.

The compensation is highly competitive, ranging from $129,300 to $223,600 based on location, plus additional benefits including equity, sign-on payments, and comprehensive medical benefits. This is an excellent opportunity for someone passionate about machine learning and large-scale systems to make a significant impact at one of the world's leading technology companies.

Last updated 5 hours ago

Responsibilities For Software Development Engineer II, P13N

  • Design and develop robust and scalable machine learning systems that process large volumes of data
  • Apply the latest in machine learning research to solving very large scale problems
  • Influence decisions in choosing the right technology to build components
  • Work collaboratively in a team environment to solve interesting and useful problems

Requirements For Software Development Engineer II, P13N

Python
Java
  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture experience
  • Experience programming with at least one software programming language
  • Experience in machine learning, data mining, information retrieval, statistics or natural language processing (preferred)
  • Bachelor's degree in computer science or equivalent (preferred)
  • 3+ years of full software development life cycle experience (preferred)

Benefits For Software Development Engineer II, P13N

Medical Insurance
Dental Insurance
Vision Insurance
401k
Equity
  • Medical benefits
  • Financial benefits
  • Comprehensive benefits package
  • Equity compensation
  • Sign-on payments

Interested in this job?

Jobs Related To Amazon Software Development Engineer II, P13N

Software Development Engineer, StoreGen

AI-focused Software Development Engineer role at Amazon, building next-generation development tools and frameworks using generative AI technologies.

Software Development Engineer II, Product Graph - Shopping Personalization

Amazon seeks ML Engineer to develop personalization systems using advanced machine learning and LLMs for enhanced shopping experiences.

SDE-II, Alexa Sensitive Content Intelligence

Mid-level Software Engineer role at Amazon working on Alexa's Sensitive Content Intelligence using ML and AI

Software Development Engineer - Sponsored Products, Demand Utilization Entity Sourcing Delivery

Machine Learning Software Engineer role at Amazon Advertising, focusing on high-throughput ad matching systems and ML algorithms for sponsored products.

Software Dev Engineer II, Conversational Ad Experiences

Software Dev Engineer II position at Amazon focusing on building conversational AI advertising experiences using LLMs, offering competitive compensation and opportunity for innovation.