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Job Description
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
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.
Skills
Deep LearningNLPComputer VisionLLMHadoopHiveAWSProduct StrategyOnboardingTeamsIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
Amazon.com, Inc. is a global technology company focusing on e‑commerce, cloud computing, digital streaming, and artificial intelligence. Founded in 1994 by Jeff Bezos, Amazon has grown from an online bookstore into one of the Big Five American technology companies, alongside Alphabet, Apple, Meta, and Microsoft.
In India, Amazon launched Amazon.in in 2013, rapidly becoming one of the country’s largest e‑commerce platforms. Its India operations span retail marketplace, Amazon Web Services (AWS), Prime Video, Amazon Music, Alexa, and logistics arms like Amazon Transportation Services. The company also runs large corporate offices and fulfilment centres across multiple cities, employing over 100,000 people in India.
Amazon is known for its customer obsession, innovation, and operational excellence, guided by its 16 Leadership Principles. Its India business combines global technology expertise with local market adaptation, offering career opportunities in technology, operations, marketing, content, and customer service.
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