Amazon’s product search engine is one of the most heavily used services in the world, indexes billions of products, and serves hundreds of millions of customers world-wide.
We are working on an AI-first initiative to further improve the way we do search using large-scale foundation models. These foundation models are also used in downstream applications by various partner teams in Amazon Stores.
Our goal is to build large language models (LLMs), which can empower conversational applications and facilitate online shopping.
The candidate is expected to develop machine learning (ML) techniques for LLM Alignment and Personalization. This is a rare opportunity to develop cutting edge AI / ML technologies in these areas and apply them to problems of this magnitude.
We are open to hiring candidates to work out of one of the following locations :
Palo Alto, CA, USA
BASIC QUALIFICATIONS
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- 3+ years of building machine learning models or developing algorithms for business application 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
PREFERRED QUALIFICATIONS
- Knowledge and expertise in Deep Reinforcement Learning (RL) and RL foundations.
- Experience with RL and dialogue management systems and background in personalization and recommendation systems are desirable.
- Good background in mathematics and statistics is always a plus.
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