Careers

Technology is giving the beauty industry a makeover! Are you interested to disrupt and redefine the way customers buy Beauty products online? Are you interested in using the latest advances in machine learning, computer vision, and big-data technologies to build online customer experiences for Beauty products that can equal or even surpass an in-store experience? Amazon Beauty is reinventing the shopping experience for all beauty customers across the largest selection of brands to become the most trusted beauty destination. Beauty is unique in retail with a diverse customer set along with products that are emotional, fun, and creative. This is your chance to get in on the ground floor to build something entirely new and transform an industry! To achieve our vision, we think big and tackle technological challenges every day. We need builders and disruptors who are not afraid to innovate! Our architecture and development processes support rapid experimentation, global deployments, and self-service capabilities that allow us to scale better. We build: - Amazon scale systems: All our technology needs to work at Amazon scale, serving millions of customers with millisecond-level latency. - Immersive customer experiences: We will create elevated and immersive customer experiences that using cutting-edge UI-technologies and user-centric design patterns. - Computer Vision and augmented reality (AR) experiences: We bring exciting experiences directly to the customer's mobile phone using their cameras and combinations of computer vision and AR. - Personalization using machine learning: We use latest advances in ML and GenAI to provide better-personalized shopping experiences. - Data & analytics pipelines: Amazon is data-driven, and a robust data backbone is necessary for our systems. We build on core AWS services such as EC2, S3, DynamoDB, SageMaker, StepFunctions, etc. - Multi-device support: We build for all traditional surfaces - desktop browsers, mobile browsers, and mobile applications. Key job responsibilities We are looking for talented and innovation-driven scientists who are passionate about leveraging the latest advances in either a) Generative AI, Diffusion Models, Computer Vision (CV), Image Processing, and related technologies, and/or b) Recommendation Systems (RecSys), Personalization algorithms, LLM-based RecSys, and related technologies, to solve customer problems in the Beauty space. You will have an opportunity to revolutionize the customer shopping experience across the world's most extensive catalog of beauty products. You will be directly responsible for leading the ideation, design, prototyping, development, and launch of innovative scientific solutions that address customer problem in the beauty and shopping space. You will closely partner with product managers, UX designers, engineers, and the broader Amazon scientific community to pioneer state-of-the-art solutions to extremely challenging problems in machine learning and computer vision. You will help hire, mentor, and develop the best and brightest science and engineering talent while our organization rapidly continues to expand. You will be our organization's Tech Evangelist and represent our organization in key internal and external AI, ML, CV or RecSys conferences. About the team Amazon Beauty Tech is a key and essential part of the Consumables organization and North America Stores. We are a passionate group of engineers, scientists, product managers, and designers who drive technological innovation to improve the customer shopping experience. We have a startup-like work culture where innovation is encouraged; we are never afraid to propose big ideas for fear of failing! We are open to hiring candidates to work out of one of the following locations: Vancouver, BC, CAN

The Alexa Smart Home team is focused on making Alexa the user interface for the home. From the simplest voice commands (turn on the lights, turn down the heat) to use cases spanning home security, home entertainment, and the home environment; we are evolving Alexa into an intelligent, indispensable companion that automates daily routines, simplifies interaction with appliances and electronics, and alerts when something unusual is detected. You can be part of a team delivering features that are highly anticipated by media and well received by our customers. As an Applied Scientist, you will work with other scientists and software developers to design and build the next generation of Smart Home voice control using the latest Large Language Models (LLMs). And, you will have the satisfaction of working on a product your friends and family can relate to, and want to use every day. Key job responsibilities - Develop new inference and training techniques to improve the performance of LLMs for Smart Home control and Automation - Develop robust techniques for synthetic data generation for training large models and maintaining model generalization - Mentoring junior scientists to improve their skills, knowledge, and their ability to get things done About the team We are a team of Scientists, Machine Learning Engineers, and Software Developers that work together to make Alexa more insightful and proactive through ambient intelligence, with features like Alexa Hunches that automatically control Smart Home devices. We are interdisciplinary and we act like it. We ask each other questions and value our different perspectives. We are open to hiring candidates to work out of one of the following locations: Vancouver, BC, CAN

Selling Partner Promotions is seeking a Sr. Economist to use econometric and machine learning techniques to help offer Customers high quality deals and promotions. This role will be a key member of a team of scientists supporting the Pricing and Promotions related business. The Sr. Economist will work closely with other research scientists, machine learning experts, and economists to design and run experiments, research new algorithms, and find new ways to improve Seller Pricing and Promotions to optimize the Customer experience. Key job responsibilities - Build economic models to quantify the causal impact of pricing actions and promotions on customers and sellers. - Build models to define, measure and optimize for high quality deals - Define and execute an extensive experimental roadmap to test hypotheses and validate the outputs of models. - Create models that allow an optimization of selling partner ROI and customer long-term value. - Evaluate and validate the proposed models via offline benchmark tests as well as online A/B tests in production. - Publish and present your work at internal and external scientific venues. We are open to hiring candidates to work out of one of the following locations: Vancouver, BC, CAN