Senior Machine Learning Engineer

3 weeks ago


Washington, United States Amazon Full time
Job Title: Senior Machine Learning Engineer

Sr. Applied Scientist, Rufus | Estimated Salary: $250,000 - $350,000 per year

About Us

At Amazon, we are committed to creating the next generation of intelligent shopping assistants that redefine navigation and decision-making in e-commerce. Our ambition extends beyond facilitating a seamless shopping journey; we aim to deeply understand our users' shopping missions, preferences, and goals.

Job Description

We are seeking an Applied Scientist who is not just adept in the theoretical aspects of Machine Learning (ML), Artificial Intelligence (AI), and Large Language Models (LLMs) but also possesses a pragmatic, hands-on approach to navigating the complexities of innovation. The ideal candidate will have a profound expertise in developing, deploying, and contributing to the next-generation shopping search engine, including but not limited to Retrieval-Augmented Generation (RAG) models, specifically tailored towards enhancing the Rufus application.

Key Responsibilities
  1. Interface with Applied Scientists, Product Managers, and Program Managers to determine requirements for production systems
  2. Analyze log data to determine future system design and configure parameters
  3. Build scalable and production-ready data pipelines to extract features from petabytes of raw data
  4. Integrate models and algorithms in complex, real-time production systems on immense scale
  5. Design and execute experiments to determine the impact of models and algorithms you intend to deploy in production
  6. Run analysis reports of web-experiments to identify benefits and risks of launching the models and algorithms
  7. Serve as a liaison to our customer/seller-facing partner teams in case of escalations
Qualifications
  • PhD, or Master's degree and 6+ years of applied research experience
  • 3+ years of building machine learning models for business application experience
  • Experience programming in Java, C++, Python or related language
  • Experience with Large Language Models


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