The People eXperience and Technology (PXT) Central Science Team at Amazon uses economics, behavioral science, statistics, Machine Learning, and LLMs to improve Amazon and the lives of Amazonians. They're seeking a Software Development Engineer (SDE) specializing in managing large volumes of data within an MLOps/GenAIOps framework.
Key aspects of the role:
- Work with distributed, scalable, and highly available systems
- Manage Machine Learning lifecycle, including model training, validation, and debugging
- Enhance LLM responses through RAG and Prompt Engineering
- Collaborate with economists, academic scholars, and ML experts
- Build services embodying diverse scientific models
- Handle and present Big Data
- Apply advanced statistical methods
The ideal candidate should have:
- Strong software engineering fundamentals
- Expertise in system architecture
- Strong grasp of machine learning principles
- Ability to build scalable systems for model deployment and GenAI application building
- Experience with ML system design, frameworks, and GenAI application development
This role offers the opportunity to work on high-impact projects using cutting-edge technology in an innovative environment.
Compensation:
- Base pay ranges from $129,300/year to $223,600/year, depending on geographic market
- Total compensation may include equity, sign-on payments, and other benefits
Amazon is committed to diversity and inclusion, offering equal opportunities to all qualified candidates.