Applied Scientist • Mid-Level

Who you are

You have a strong background in machine learning and are excited about applying Large Language Models (LLM) to solve complex challenges in e-commerce. Your experience includes designing and implementing LLM-based solutions that improve data quality and completeness. You are skilled in conducting experiments and A/B tests to validate models, ensuring that the solutions you develop meet high standards of performance and reliability.

You thrive in collaborative environments and enjoy working closely with scientists and engineers to experiment with new methods and bring innovative research ideas into production. Your analytical mindset allows you to tackle challenges related to the scale and diversity of product data, and you are passionate about leveraging technology to enhance the online buying experience for customers.

Desirable

Experience with reinforcement learning and prompt optimization is a plus, as is familiarity with the e-commerce landscape. You are eager to stay updated on the latest advancements in AI and machine learning, and you are motivated to contribute to industry-leading technologies that customers will love.

What you'll do

As an Applied Scientist at Amazon, you will design and implement LLM-based solutions that enhance the quality and completeness of the product catalog. You will conduct large-scale evaluations and experiments to validate your models, ensuring that they effectively address real customer problems. Collaborating with a talented team, you will experiment with new methods and technologies, pushing the boundaries of what is possible in catalog data management.

You will be responsible for analyzing the performance of your models and iterating on them based on feedback and evaluation results. Your work will directly impact the online buying experience for millions of customers worldwide, making it essential that you maintain a focus on data accuracy and consistency.

In this role, you will also have the opportunity to mentor junior team members and share your knowledge of machine learning techniques and best practices. You will contribute to a culture of innovation and continuous improvement, helping to shape the future of Amazon's product catalog systems.

What we offer

Amazon provides a dynamic work environment where you can grow your skills and advance your career. You will have access to a wide range of resources and support to help you succeed in your role. The company values diversity and encourages you to apply even if your experience doesn't match every requirement. Competitive compensation and benefits packages are available, ensuring that you are rewarded for your contributions to the team and the company as a whole.