Alexa Identity & Privacy is looking to build LLM-based conversational learning capabilities and platform experiences to enable personal assistants to learn their customers, transforming how we learn from customers through customizing Foundational LLM models using Supervised Fine Tuning (SFT) and In-Context Learning (ICL) model training technologies.
Requirements
- Experience programming with at least one software programming language
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Responsibilities
- launch customer facing experiences end to end through a cross-function effort, including product managers, applied scientists, software engineers, data engineers, and quality engineers.
- be responsible for the development and maintenance of key platforms needed for connecting LLMs to actual user requests and real world APIs which act on them required for building conversational agents.
- Design and code the right solutions starting with broadly defined problems.
- Drive best practices and engineering excellence.
- Work with other team members to develop the architecture and design of new and current systems.
- Work in an agile environment to deliver high quality software in a fast-paced environment.
Other
- lead a cross-function effort
- working across multiple roles from both internal and external partner engineering teams
- A commitment to teamwork, hustle, and strong communication skills (to both business and technical partners) are absolute requirements.
- thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment where priorities shift quickly.
- If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
