Software Development Engineer, Alexa Audio, Alexa Domains - Alexa Audio (music)

Amazon Amazon · Big Tech · IN, TN +1 · Software Development

Software Development Engineer role focused on integrating Large Language Models (LLMs) into Alexa's audio experiences, aiming to improve model accuracy and reduce latency. The role involves designing and delivering software, creating infrastructure for LLMs, developing tools for evaluation, and influencing the operational roadmap for core audio services.

What you'd actually do

  1. Design, implement, and deliver software in ambiguous and complex problem spaces of Alexa Audio working with partners such as product managers, technical program managers, and senior/principal engineers to deliver on the business goals related to Audio Experience.
  2. Create infrastructure to bring the power of LLMs into the Audio space while championing best practices for software engineering and operational excellence.
  3. Create tools and software to evaluate, analyze, and improve the model accuracy for various Audio experiences, while reducing latency and customer friction.
  4. Influence the operational and engineering excellence roadmap across core audio services set by the lead SDEs to proactively address peak readiness, hardware efficiency, scaling, throttling and improve availability & resiliency for Alexa Audio Services.
  5. Provide valuable design feedback around latency considerations, two-way door decisions and valuable coding feedback around coding standards, quality, versioning to both internal and external away teams, guide them on best practices for developing within Audio owned services and push back on proposals which do not adhere to our high quality standards.

Skills

Required

  • Software Development
  • System Design
  • API Platforms
  • LLM Integration
  • Software Engineering Best Practices

Nice to have

  • Voice Control Interfaces
  • Generative AI
  • Scalable API Platforms
  • Mentoring Junior Engineers
  • Hiring and Interviewing

What the JD emphasized

  • complex problem spaces
  • power of LLMs
  • evaluate, analyze, and improve the model accuracy
  • reducing latency
  • operational excellence
  • availability & resiliency

Other signals

  • integrating LLMs into audio experiences
  • improving model accuracy
  • reducing latency