Senior Machine Learning Scientist Amazon
Seattle, WA

Job Description

Are you interested in building, leading and driving the machine learning technical vision, strategy and implementation for product development centered on protecting our customers from potentially unsafe products? Global Product Safety and Compliance (GPSC) is hiring a Senior Machine Learning Scientist (MLS) to lead the definition and prioritization of machine learning capability for emerging risk assessment, proactive safety controls, and dynamic product classification.

GPSC Product and Technology is responsible for the technology infrastructure enabling the safety of all products globally at Amazon. You will be a senior technical leader in the existing GPSC Product and Technology team to drive the data science and machine learning needed for our product development and safety control processes. Our goal is to disrupt the current state of risk assessment at Amazon and the world by using machine learning to bring together deep subject matter expertize and automated data-driven decision-making. We aim to replace "magic numbers" and rule-based logic with models that learn from data.

As a Machine Learning Scientist at Amazon, you will connect with world leaders in your field working on similar problems. You will be working with large distributed systems of data and providing technical leadership to the product managers, teams, and organizations building machine learning solutions. You will be tackling Machine Learning challenges in Supervised and Unsupervised Learning; utilizing modern methods such as Deep Neural Networks and others. Senior MLS's are specialists with the deep expertise to drive the ML vision for our products in areas such as machine learning, speech recognition, natural language processing, computer vision, and knowledge acquisition. They are externally aware of the state-of-the-art in their respective field of expertise and are constantly focused on advancing the state-of-the-art for improving Amazon's products and services.

The ideal candidate will be an expert in the areas of data science, machine learning and statistics. You will have hands-on experience leading multiple simultaneous product development initiatives as well as be able to balance technical leadership with strong business judgment to make the right decisions about technology, models and methodologies choices. You will strive for simplicity, and demonstrate significant creativity and high judgment backed by statistical proof.