Amazon

This internship focuses on developing systems and frameworks for machine learning asset lifecycle management, leveraging NLP and information retrieval. The role involves research into ML operations and knowledge engineering to enhance Amazon's ML capabilities.

This role is for a PhD student intern focused on research science at Amazon. The intern will apply advanced statistical techniques and AI/ML technologies to solve complex problems, implement prototypes, and work with large datasets. Responsibilities include data collection, analysis, interpretation, developing and testing hypotheses, documenting findings, and collaborating with team members. The role emphasizes hands-on scientific work, data analysis, experimental design, and computational modeling.

Seeking a Senior Research Scientist to lead the design and implementation of autonomous experimental research platforms leveraging data science and AI for sustainable materials innovation. This role combines Physical AI with materials chemistry to accelerate discovery and validation, establishing scientific strategy and technical roadmaps for next-generation autonomous capabilities.

Internship role for MS or PhD students in Speech, Robotics, Computer Vision, or Machine Learning/Deep Learning. Focuses on building large-scale ML systems using large datasets and translating business requirements into prototypes. Involves analyzing and modeling terabytes of text, images, and other data.

Masters or PhD student internship in Data Science at Amazon, focusing on developing and implementing algorithms for scientific solutions, A/B testing, and estimating customer satisfaction. The role involves working closely with scientists and engineers on customer-obsessed research and creating scalable projects.

This role is for a Sr. Principal Scientist focused on Stores Economics and Science at Amazon. The scientist will work with ML scientists to validate models, translate analysis into business actions, and manage data analysis and modeling. The team uses economics, statistics, and ML to understand Amazon's economy and aims to drive AI adoption across the company.

This role focuses on leveraging econometrics and ML models to optimize advertising strategies, influence business decisions, and perform hands-on analysis with large datasets. The Economist will work closely with software engineers to productionize models and run A/B experiments, impacting millions of customers.

Economist role focused on applying econometrics and ML to optimize advertising strategies, influence business decisions, and analyze experiments within Amazon's advertising business. Requires a PhD in economics and experience with large datasets and statistical software.

Senior Economist role focused on building innovative solutions using econometrics, machine learning, and experimentation for Amazon Retail's product assortment. The role involves developing econometric models and experiments to measure customer and financial impact, influencing business decisions, and collaborating with a multidisciplinary team.

The JP Economics and Decision Sciences team is a central science team that applies rigorous economic theory, causal inference methods, and machine learning to solve complex business challenges across the JP marketplace and beyond. We work closely with JP business leaders to drive change at Amazon, focusing on solving long-term, ambiguous problems while providing advisory support for short-term business pain points. Key topics include pricing, product selection, delivery speed, profitability, and customer experience. We tackle these issues by building novel economic and econometric models, machine learning systems, and high-impact experiments which we integrate into business, financial, and system-level decision making. Our work is highly collaborative and we regularly partner with JP-, EU-, and US-based interdisciplinary teams.

Research Scientist II role focused on psychometric aspects of exam development and operations, with a requirement to use ML, NLP, and GenAI for research and automation. The role involves developing and applying statistical and psychometric modeling to ensure exam validity and reliability, and automating psychometric workflows using R or Python. Experience with large-scale assessment programs and complex test designs is required.

This role focuses on applying economic expertise, causal inference, and machine learning to research and model factors driving workplace safety outcomes within Amazon's operations. The goal is to identify effective improvement programs and develop data-driven solutions to reduce risks and injuries, partnering with business and technical teams to deliver impactful insights and scalable data resources.

Principal Economist role focused on developing economic and science products for the Fee domain, specializing in supply chain systems and fees. The role involves developing causal links, pricing strategies, and econometric models for a two-sided marketplace, partnering with various science and technology teams. Requires experience with big data and machine learning or data science.