Taro Logo

SDE II, GenAI Apps, People eXperience and Technology Central Science (PXTCS)

Amazon is a global technology company known for e-commerce, cloud computing, digital streaming, and artificial intelligence.
$129,300 - $223,600
Machine Learning
Mid-Level Software Engineer
Hybrid
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS
This job posting may no longer be active. You may be interested in these related jobs instead:

Description For SDE II, GenAI Apps, People eXperience and Technology Central Science (PXTCS)

We are seeking a Software Development Engineer (SDE) to join our People eXperience and Technology (PXT) Central Science Team. This interdisciplinary team combines the talents of science and engineering to develop and deliver solutions that measurably improve the lives, wellbeing, and value of work for Amazonians.

In this role, you will:

  • Build distributed, scalable, and highly available systems that make Machine Learning (ML), Large Language Models (LLMs), and statistical models run faster in a CI/CD fashion
  • Own products ranging from Data Lakes to tools for science experimentation, MLOps, GenAIOps, and analytics to web applications and software solutions integrated with other Amazon systems
  • Leverage intricate distributed systems, handle and present Big Data, and apply advanced statistical methods
  • Collaborate with economists, academic scholars, machine learning experts, and fellow developers to craft, experiment, and launch services embodying diverse scientific models

The ideal candidate will have:

  • Robust software engineering fundamentals and adeptness in system architecture
  • Strong grasp of machine learning principles, including model training, validation, debugging tools, and analysis techniques
  • Familiarity with Machine Learning lifecycle management and enhancing LLM responses through methodologies like Retrieval Augmented Generation (RAG) and Prompt Engineering
  • Exposure to ML system design, frameworks, GenAI application design/development, and industry best practices
  • Passion for innovation, leading-edge technology, and contributing to a high-impact field

This position offers a competitive compensation package, with base pay ranging from $129,300/year to $223,600/year depending on the geographic market. Amazon also provides equity, sign-on payments, and a full range of medical, financial, and other benefits.

Join our team and contribute to cutting-edge technology that improves the Amazon employee experience!

Last updated 8 months ago

Responsibilities For SDE II, GenAI Apps, People eXperience and Technology Central Science (PXTCS)

  • Build distributed, scalable, and highly available systems that make Machine Learning (ML), Large Language Models (LLMs), and statistical models run faster in a CI/CD fashion
  • Own products ranging from Data Lakes to tools for science experimentation, MLOps, GenAIOps, and analytics to web applications and software solutions integrated with other Amazon systems
  • Leverage intricate distributed systems, handle and present Big Data, and apply advanced statistical methods
  • Collaborate with economists, academic scholars, machine learning experts, and fellow developers to craft, experiment, and launch services embodying diverse scientific models

Requirements For SDE II, GenAI Apps, People eXperience and Technology Central Science (PXTCS)

Python
Java
  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience programming with at least one software programming language
  • Robust software engineering fundamentals and adeptness in system architecture
  • Strong grasp of machine learning principles, including model training, validation, debugging tools, and analysis techniques
  • Familiarity with Machine Learning lifecycle management and enhancing LLM responses through methodologies like Retrieval Augmented Generation (RAG) and Prompt Engineering
  • Exposure to ML system design, frameworks, GenAI application design/development, and industry best practices

Benefits For SDE II, GenAI Apps, People eXperience and Technology Central Science (PXTCS)

Medical Insurance
Equity
401k
  • Medical Insurance
  • Equity
  • 401k

Interested in this job?