Applied Scientist, Alexa Connected Devices

Amazon Amazon · Big Tech · Seattle, WA · Applied Science

Applied Scientist role focused on LLM, AI, NLP, Recommender Systems, and Information Retrieval for Alexa Connected Devices. The role involves researching and developing novel algorithms and modeling techniques for context-aware conversational AI, including prompt engineering, fine-tuning, and learning from human feedback. The goal is to build scalable solutions and improve user experiences, impacting millions of customers through new products and services.

What you'd actually do

  1. research and develop novel algorithms and modeling techniques to reduce friction and enable natural and contextual conversations
  2. analyze, understand and improve user experiences by leveraging Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence
  3. work on core LLM technologies, including Prompt Engineering and Optimization, Supervised Fine-Tuning, Learning from Human Feedback, Evaluation, Self-Learning, etc.

Skills

Required

  • building models for business application experience
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • programming in Java, C++, Python or related language
  • algorithms and data structures
  • parsing
  • numerical optimization
  • data mining
  • parallel and distributed computing
  • high-performance computing

Nice to have

  • Unix/Linux
  • professional software development

What the JD emphasized

  • building models for business application experience
  • core LLM technologies

Other signals

  • LLM
  • AI
  • NLP
  • Recommender Systems
  • Information Retrieval
  • Generative AI
  • Prompt Engineering
  • Supervised Fine-Tuning
  • Learning from Human Feedback
  • Evaluation