Amazon Sr SDE Machine Learning 

United States, Washington, Seattle 

997105104

Key job responsibilities
In this role you will leverage your engineering background and expertise in ML to lead developing foundational behavioral model for Amazon Stores using LLM and Large Model training techniques. On a day-to-day basis, you will:
- Lead the design and implementation of a stable and efficient training infrastructure that scales to a large model size and hardware such as GPU.- Quickly learn cutting-edge technologies and algorithms in the field of Generative AI.

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Experience in developing machine learning pipelines, developing large language model or natural language understanding models.

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Master or PhD in Computer Sciences, Electrical Engineering, or Mathematics with specialization in machine learning, deep learning, or natural language processing
- Experience with CUDA
- Experience with Pytorch or Tensorflow
- Experience with distributed training