Software Dev Engineer, Alexa AI

Interested in Amazon Alexa, Machine Learning and Artificial Intelligence? We’re building the runtime services that power state of the art Amazon Alexa. Come join us!

The Alexa AI org in India is seeking a talented, self-directed Software Development Engineer to help us pioneering new machine learning tools and processes through an iterative research and development cycle. You will build scalable, self-serve applications for use across the Alexa, Customer & Technology organization. You will have significant influence on our overall strategy as you work with a small team of subject matter experts and engineers to define features, system architecture and best practices. You will work with the other engineers on the team to execute our technical vision and create a world class product.

Creating reliable, scalable, and high performance products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. The ideal candidate will be a self-starter who can dive into a project with limited guidance and is able to design and implement inventive, simple solutions to complex problems. They will be passionate about new technologies and have a track record of delivering valuable software features and products in a fast-paced, highly iterative environment. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements.

Key job responsibilities

• Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.
• Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.
• Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
• Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
• Design and code the right solutions starting with broadly defined problems.
• Work in an agile environment to deliver high-quality software.