About the position
Generalized AI Enhanced Natural and Intuitive Experiences (GENIE)'s mission is to "accelerate personalized and intuitive experiences that enhance customer satisfaction and benefit all Amazon businesses". Our goal is to provide conversational, visual and proactive mechanisms to delight customers, increase customer engagement, reduce defects, and enable natural interactions across Amazon touch points (e.g., Alexa, Stores, Mobile). To achieve our mission, we build automated, scalable, self-serve AI systems that use customer, device and ambient signals to offer personalized suggestions, comprehend customer inputs, learn from customer interactions, reduce defects, and propose appropriate actions to serve millions of Amazon customers across the globe. We are seeking talents to design and build personalized conversation facilitation services to intelligently assist and delight the customers with personalized and relevant content. The candidate is expected to be able to deal with large scale and low latency challenges, deliver in an environment with a high velocity and lots of ambiguities by working across multiple roles from both internal and external partner teams.
Responsibilities
- Work closely with the scientist team to continuously improve Large Language Model performance to predict the user need and generate follow-ups in more accurate and intelligent way.
- Build horizontal experimentation framework that provides hooks to experiment different configurations and threshold across various components.
- Work with other team members to investigate design approaches, prototype new technologies and evaluate technical feasibility.
- Work in an Agile/Scrum environment to deliver high-quality software in a fast-paced environment.
Requirements
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
Nice-to-haves
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Benefits
- Equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package
- Full range of medical, financial, and/or other benefits
