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!