Senior Research Scientist - Machine Learning and AI

Amazon India Limited; Bengaluru; On-site; INR 3,000,000 - 5,400,000; Full time

Job summary

Amazon India Limited is seeking a Senior Research Scientist in RBS Tech to design and deploy scalable GenAI, NLP and computer vision solutions that affect content visible to millions of customers. You will develop novel LLMs and statistical techniques for automation and anomaly detection, collaborating with business and engineering teams and mentoring the group.

You will define research strategy, run iterative experiments, and pursue publications or patents when opportunities arise, contributing

Qualifications

• PhD or Master's degree with 5+ years of quantitative field research.
• Experience with big data technologies and scalable ML systems.
• Ability to communicate qualitative research to non-qualitative audiences.

Responsibilities

• Design and deploy scalable GenAI, NLP and Computer Vision solutions that impact customer content.
• Develop novel LLM, deep learning and statistical techniques for automation and pattern recognition.
• Define the research strategy and execute experiments to progressively improve results.
• Mentor teammates and contribute to patents/publications when opportunities arise.

Education

PhD

Master's degree

Tools

AWS

Hadoop

Spark

Pig

Hive

Job description

Senior Research Scientist, RBS Tech RBS (Retail Business Services) Tech team works towards enhancing the customer experience (CX) and their trust in product data by providing technologies to find and fix Amazon CX defects at scale. Our platforms help in improving the CX in all phases of customer journey, including selection, discoverability & fulfilment, buying experience and post-buying experience (product quality and customer returns). The team also develops GenAI platforms for automation of Amazon Stores Operations.

As a Sciences team in RBS Tech, we focus on foundational ML research and develop scalable state-of-the-art ML solutions to solve the problems covering customer experience (CX) and Selling partner experience (SPX). We work to solve problems related to multi-modal understanding (text and images), task automation through multi-modal LLM Agents, supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, image and text similarity and retrieval using NLP and Computer Vision for product groupings and identifying duplicate listings in product search results.

Key job responsibilities

As a Senior Research Scientist, you will be responsible to design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues. You will develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems. You will define the research and experiments strategy with an iterative execution approach to develop AI/ML models and progressively improve the results over time. You will partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation. You will help the team leverage your expertise, by coaching and mentoring. You will contribute to the professional development of colleagues, improving their technical knowledge and the engineering practices. You will independently as well as guide team to file for patents and/or publish research work where opportunities arise. The RBS org deals with problems that are directly related to the selling partners and end customers and the ML team drives resolution to organization level problems. Therefore, the Senior Research Scientist role will impact the large product strategy, identifies new business opportunities and provides strategic direction which is very exciting.

Basic Qualifications

• 3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience
• PhD, or Master's degree and 5+ years of quantitative field research experience
• Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
• Experience communicating qualitative research methods and findings to non-qualitative researchers

Preferred Qualifications

• Experience converting research studies into tangible real-world changes
• Experience with discrete and continuous optimization methodologies and algorithms

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Experience Level

Senior Level