Applied Scientist • Mid-Level

Who you are

You have 3+ years of experience building models for business, demonstrating a robust background in deep learning and machine learning. Your expertise in Large Language Models (LLMs) and multimodal systems positions you as a key contributor to innovative technology development. You are passionate about safeguarding data privacy and security, ensuring high-quality data collection for LLM training.

You thrive in collaborative environments, working closely with talented colleagues to drive forward the frontier of LLM technology. Your strong analytical skills enable you to run experiments and research new algorithms, optimizing customer experiences through state-of-the-art products and services. You set high standards for scientific practices and are committed to delivering experiences that delight customers.

What you'll do

As an Applied Scientist on the AGI team, you will lead the development of advanced approaches and modeling techniques. Your role involves innovating model-in-the-loop and human-in-the-loop approaches, ensuring the collection of high-quality data while maintaining data privacy and security. You will support science solution design, run experiments, and research new algorithms to enhance customer experiences.

You will collaborate with engineers and scientists to implement algorithms and models into practice, creating reliable, scalable, and high-performance products. Your contributions will directly impact the development of industry-leading technology, and you will be expected to set examples for the team on good science practices and standards. You will also engage in theoretical analysis and innovation, driving the team towards achieving its goals.

What we offer

Amazon provides a comprehensive benefits package, including equity, sign-on payments, and a full range of medical and financial benefits. You will have the opportunity to work in a dynamic environment that encourages innovation and collaboration. This position will remain posted until filled, and we encourage you to apply even if your experience doesn't match every requirement.