AI Expert for Next-Gen Shopping Solutions

3 weeks ago


Seattle, Washington, United States Amazon Full time

About Amazon

At Amazon, we're developing cutting-edge technology that revolutionizes the customer experience of groundbreaking products. We're looking for a talented AI expert to join our team and contribute to building Large Language Model (LLM) solutions for Amazon's core shopping platform.

Job Overview

We're seeking an experienced Applied Scientist with a background in AI, Generative AI, Machine Learning, and NLP to work on various projects, including state-of-the-art generative AI, LLM fine-tuning, alignment, prompt engineering, and benchmarking solutions.

Key Responsibilities

As an Applied Scientist, you will be responsible for working on advanced technologies that result in paper publications. You will have the opportunity to implement algorithms and see how they perform in real-world scenarios.

This is an excellent chance to validate your research on one of Amazon's most exciting AI products, where assumptions can be tested against real business scenarios and supported by extensive data.

Requirements

To be successful in this role, you should have:

  • Experience programming in Java, C++, Python, or related languages
  • Experience with SQL and RDBMS (e.g., Oracle) or Data Warehouse
  • Advanced degree in computer science, mathematics, statistics, machine learning, or equivalent quantitative field
  • Experience implementing algorithms using both toolkits and self-developed code
  • Publications at top-tier peer-reviewed conferences or journals
  • Experience in LLM fine-tuning, pretraining, testing, and prompt engineering
  • Experience building machine learning models or developing algorithms for business applications

Benefits and Compensation

Amazon offers a competitive salary and comprehensive benefits package, including equity, sign-on payments, and other forms of compensation. The base pay for this position ranges from $129,400/year to $212,800/year, depending on location and experience. Our compensation reflects the cost of labor across several US geographic markets.



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