Amazon

Applied Scientist, Amazon Search

Posted On

April 8, 2025

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Machine Learning Science

Apply By

April 29, 2025

Job Description

Do you want to build technology and new science that millions of people will use? Are you excited about working on Large Language Models (LLM), Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL)?

We are embarking on a multi-year journey to improve the shopping experience for customers globally. Amazon Search team creates customer-focused search solutions and technologies that makes shopping delightful and effortless for our customers. Our goal is to understand what customers are looking for in whatever language happens to be their choice at the moment and help them find what they need in Amazon's vast catalog of billions of products.

As Amazon expands to new geographies and new interfaces, we are faced with the unique challenge of maintaining the bar on Search Quality due to the diversity in user preferences, multilingual search and data scarcity.

We are looking for an applied researcher to work on improving search on Amazon using NLP, ML, and DL technology. As an Applied Scientist, you will lead our efforts in query understanding, and semantic matching. As part of this role, you will develop high precision, high recall, and low latency solutions for search. Your solutions should work for all languages that Amazon supports and will be used in all Amazon locales world-wide. You will develop scalable science and engineering solutions that work successfully in production. You will work with leaders to develop a strategic vision and long term plans to improve search globally.

We are growing our collaborative group of engineers and applied scientists by expanding into new areas. This is a position on Search Relevance team in Bangalore (India). We are moving fast to change the way Amazon search works. Together with a multi-disciplinary team you will work on building solutions with LLM/NLP/ML/DL at its core. - 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- 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

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