Applied Scientist , Personalization & Ranking

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

Research Scientist focused on developing and launching new AI technologies for personalization and recommendation systems, utilizing deep learning, LLMs, and reinforcement learning, with a strong emphasis on experimentation and A/B testing.

What you'd actually do

  1. Using Amazon’s large-scale computing resources, you will ask research questions about customer behavior, build state-of-the-art models to optimize the shopping experience, and run these models directly on the retail website.
  2. Develop AI solutions for Recommendation systems using Deep learning, LLMs, Reinforcement Learning, distillation, and Optimization methods;
  3. Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end;
  4. Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses;
  5. Effectively communicate technical and non-technical ideas with teammates and stakeholders;

Skills

Required

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

Nice to have

  • Experience using Unix/Linux
  • Experience in professional software development

What the JD emphasized

  • pushing the state of the art
  • novel ideas
  • large datasets and tremendous computational resources
  • new AI technologies
  • recommendations and large language models
  • launching new features, products and systems
  • state-of-the-art models
  • Deep learning, LLMs, Reinforcement Learning, distillation, and Optimization methods
  • AI solutions end-to-end
  • offline and online (A/B) experiments
  • in-depth data analyses
  • advancements and the latest modeling techniques

Other signals

  • researching and developing new AI technologies
  • inventing, experimenting with, and launching new features, products and systems
  • building state-of-the-art models to optimize the shopping experience
  • Develop AI solutions for Recommendation systems using Deep learning, LLMs, Reinforcement Learning, distillation, and Optimization methods
  • Design and conduct offline and online (A/B) experiments to evaluate proposed solutions