Applied Scientist II, Amazon Search

Amazon; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Amazon in Bengaluru is seeking an Applied Scientist II to advance search quality through NLP, ML, and DL techniques. You will lead query understanding, semantic matching, and ranking, building scalable systems that deliver accurate results with low latency across languages.

You will collaborate with engineers and scientists to deploy models, run experiments, and translate research into production solutions that delight customers and scale across Amazon locales worldwide.

Qualifications

• 3+ years of building machine learning models for business application experience
• PhD or Master's degree
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Responsibilities

• Develop and deploy ML models to produce relevant search results.
• Design and train semantic matching models (bi-encoders, cross-encoders, and distillation from large foundation models) for ranking and relevance.
• Develop reinforcement learning and reward-modeling approaches to continuously improve search results quality.
• Train multi-objective ranking and scoring systems that balance suggestion diversity, specificity, and relevance.
• Design and implement scalable model architectures optimized for strict latency constraints, including knowledge distillation, quantization, and efficient inference strategies for production deployment.
• Lead end-to-end science projects from problem formulation through production launch, collaborating closely with engineers and scientists within and outside the team to deliver customer-facing impact.

Skills

Machine learning

NLP expertise

Research experience

Education

PhD or Master's degree

Tools

Java

C++

Python

Job description

Description

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 make 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 — starting from the very first keystroke.

As Amazon expands to new interfaces, we are faced with the unique challenge of maintaining the bar on Search Results Quality and Search Autocomplete.

We are looking for a Applied Scientist II 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, semantic matching, and ranking. You will build systems that anticipate search query intent and surface the right results. 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.

Key job responsibilities

As an Applied Scientist on the team, you will lead science innovation to improve the customer search experience through higher-quality search results. You will:

• Develop and deploy ML models to produce relevant search results.

• Design and train semantic matching models (bi-encoders, cross-encoders, and distillation from large foundation models) for ranking and relevance.

• Develop reinforcement learning and reward-modeling approaches to continuously improve search results quality.

• Train multi-objective ranking and scoring systems that balance suggestion diversity, specificity, and relevance.

• Design and implement scalable model architectures optimized for strict latency constraints, including knowledge distillation, quantization, and efficient inference strategies for production deployment.

• Lead end-to-end science projects from problem formulation through production launch, collaborating closely with engineers and scientists within and outside the team to deliver customer-facing impact.

Basic Qualifications

• 3+ years of building machine learning models for business application experience

• PhD, or Master's degree

• 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

Preferred Qualifications

• Experience using Unix/Linux

• Experience in professional software development

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.