Machine Learning Engineer (Alexa Shopping)

The Grocery Shopping Team, a team within Alexa Voice Shopping, enables customers to build baskets of grocery and consumable items using voice across device and formats. The convenience of shopping for groceries by voice, midstream of other activities, will bring a new level of convenience that will change how people shop for groceries and consumables.

Our vision is to enable a voice grocery experience that wows customers with its simplicity and convenience and creates long term highly engaged device owners and Amazon grocery shoppers. Customers will ask Alexa to buy grocery items and be delighted when she knows their favorite items, schedules deliveries, reminds them of items they may have forgotten, and helps them manage their household grocery needs.

We are seeking talented and experienced leaders to design and develop conversational shopping experiences and algorithms in Seattle. You'll have the freedom (and encouragement) to experiment, improve, invent, and innovate on behalf of our customers. You will have an impact on Amazon's new devices and the way shopping is done in the area of IoT. And finally you will have the satisfaction of being able to look back and say you were a key contributor to something special from its earliest stages.

What you will work on: You will build and operate massively scalable services while also developing delightful shopping experiences for Echo, Fire TV and other Amazon products. You will be working closely with multiple product managers and engineering leaders from partner teams in Amazon Retail, Speech Recognition and a Research Sciences team.

Basic Qualifications

· Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
· 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
· 2+ years of non-internship professional software development experience

Preferred Qualifications

· PhD in Computer Sciences, Electrical and Computer Engineering, or Mathematics with specialization in information retrieval, speech recognition, natural language processing or machine learning
· Experience with common machine learning techniques such as preprocessing data, training and evaluation of classification and regression models, and statistical evaluation of experimental data.
Experience in deploying and operating machine learned models on low latency, high-throughput systems
· Solid software development experience
· Good written and spoken communication skills