Amazon Early Career Applied Scientist Agentic AI 

United States, California 

684412514

Our scientists push boundaries in pre-training and post-training large language models for agentic coding tasks and beyond to invent creative solutions. You will invent, implement, and deploy state-of-the-art machine learning solutions at Amazon scale, having a direct impact on revolutionary products used by millions. You will make breakthroughs that challenge the limits of AI and machine learning while collaborating with leading academics and interacting directly with customers to bring new research rapidly to production. You will publish your work at top Machine Learning and Natural Language Processing conferences.Key job responsibilities
As an Applied Science Intern, you will have access to large datasets with billions of images and video to build large-scale machine learning systems. Additionally, you will analyze and model terabytes of text, images, and other types of data to solve real-world problems and translate business and functional requirements into quick prototypes or proofs of concept.
Work/Life Balance
Mentorship & Career Growth

* Early Career PhD, or Master's degree and 3+ years of applied research experience
* Experience programming in Python, Java, C++ or related language
* Experience with neural deep learning methods and machine learning
* Experience with training language models at scale

* Experience with LLM pre-training, fine-tuning, reinforcement learning, and benchmarking
* First-authored publications at top tier machine learning conferences, e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL.
* Familiarity with distributed training and acceleration method/implementation/library for LLMs or large-scale ML in general, e.g., Nemo-Megatron, PyTorch Lightning, and verl.