Data Scientist, Edge AI Product Science

Description

Amazon Devices is an inventive research and development company that designs and engineers high-profile devices like Echo, Fire Tablets, Fire TV, and other consumer devices. We are looking for an exceptional data scientist to join our Edge AI Product Science team to advance the state-of-the-art in developing efficient multimodal deep learning models across our product portfolio. Through close hardware-software integration, we design and train models for resource efficiency across the hardware and software tech stack. Edge AI Product Science team is looking for a talented Data Scientist who will introduce and model best practices around our dataset curation, annotation pipelines, and data driven model development. This role will take a data-first approach to improving model and system performance and work alongside other scientists to develop new evaluation methods for multimodal language models and agents for our devices, including audio and vision experiences.

Basic Qualifications

- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science- Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance- Experience applying theoretical models in an applied environment- Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)

Preferred Qualifications

- Experience in a ML or data scientist role with a large technology company- Experience in manipulating/transforming data, model selection, model training, cross-validation and deployment at scale- Experience with Machine Learning and Large Language Model (LLM) fundamentals, including architecture, training/inference lifecycles, and training recipe refinement