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Applied Scientist, RBS Tech

ID: 6048

Type: Full-time

Category: Others

Company Name: ADCI - BLR 14 SEZ

Location: IND, KA, Bengaluru

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Job Description

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 an Applied 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 independently 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 Applied Scientist role will impact the large product strategy, identifies new business opportunities and provides strategic direction which is very exciting.

Basic Qualifications

- Master's degree
- Experience with video and image processing and compression algorithms and standards, computer vision and/or machine learning
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Experience in solving business problems through machine learning, data mining and statistical algorithms
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Knowledge of architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members
- Experience in problem solving and delivering results
- 2+ years of relevant applied science research experience with a Masters’ degree in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in machine learning, NLP, Computer Vision, deep or related fields.
- Excellent communication skills

Preferred Qualifications

- Have publications at top-tier peer-reviewed conferences or journals
- Strong verbal/written communication skills, including an ability to effectively collaborate with both research and technical teams.
- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.
- Solid understanding of machine learning, deep learning algorithms and computational complexity.
- Strong CS fundamentals in data structures, problem solving, algorithm design and complexity analysis.

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.

Company Information

Company Name: ADCI - BLR 14 SEZ

Company Website: https://www.amazon.jobs/en/locations/bengaluru-india

Company Address: Bengaluru, Karnataka 560001 / 560103 / 560066, India

Amazon Development Centre India (commonly abbreviated as ADCI) refers to Amazon.com, Inc.’s network of engineering and technology development centers in India that support the company’s global e-commerce, cloud computing, device, advertising, and media businesses. ADCI is not a standalone public company but the collective name often used in internal and external communications to identify Amazon’s engineering and product-development operations located across multiple Indian cities, including Bengaluru (BLR). The designation “BLR 14 SEZ” is used internally and in job and location listings to identify a specific Bangalore campus or facility housed within a Special Economic Zone (SEZ), where Amazon operates offices that host software engineering, research, and operational teams. Company overview ADCI operates as part of Amazon.com, Inc., one of the world’s largest technology and retail companies. The ADCI centers in India are staffed by software engineers, data scientists, product managers, solutions architects, security specialists, UX designers, operations engineers, and other technical professionals. These centers focus on building, scaling, and operating distributed systems, services, and product features that are integrated into Amazon’s global product portfolio. The India development centers serve both regional needs (India-specific products and localized services) and global development efforts (core components of Amazon Web Services, retail platform features, Alexa, and other infrastructure). Core business activities - Software and product engineering: ADCI teams design, implement, test, and deploy backend services, frontend applications, and full-stack products for Amazon’s retail marketplace, seller and vendor systems, customer-facing applications, and internal business tools. - Cloud and infrastructure development: Engineers in ADCI contribute to Amazon Web Services (AWS) products and supporting infrastructure, working on distributed systems, container orchestration, data storage, networking, security, and platform automation. - Machine learning and data science: ADCI houses data science and machine learning groups that build recommender systems, fraud detection, forecasting and demand-planning models, natural language processing for Alexa and customer service, and analytics platforms used across Amazon. - Consumer device and services support: Development work includes software for Amazon devices (e.g., Kindle, Echo/Alexa) as well as services that integrate with these devices, including voice services, media delivery, and IoT integration. - Payments, advertising, and monetization systems: ADCI contributes to Amazon Pay, advertising technology, catalog and merchandising systems, pricing algorithms, and other monetization-related engineering efforts. - Logistics and operations technology: Teams build software for Amazon’s fulfillment network, warehouse management, routing and delivery systems, robotics integration, and tools for operational efficiency across the supply chain. - Security, privacy, and compliance engineering: Dedicated groups focus on identity and access management, application security, data protection, and compliance with regional regulations. Main products and services ADCI does not produce end-brand consumer products under the ADCI name; rather, its primary output is software, services, and engineering expertise that underpin Amazon’s global offerings. Typical deliverables and contributions from ADCI teams include: - Core services and microservices that power Amazon.com’s marketplace and seller systems (catalog, search, checkout, payments integrations, order management). - AWS platform components, tools, and client-facing services supporting cloud customers globally. - Machine learning models and data platforms used for personalized recommendations, advertising targeting, fraud detection, and predictive analytics. - Features and platform code for Alexa voice services, including speech processing, intent recognition, and integrations with third-party skills and devices. - Enterprise and operations software for logistics, fulfillment centers, inventory forecasting, and last-mile delivery systems. - Developer tools, automation frameworks, and internal platforms used by Amazon teams worldwide to build and operate services at scale. Organizational role and scale ADCI centers in India are strategic engineering hubs within Amazon’s global R&D footprint. They collaborate closely with product teams in other geographies and are often responsible for end-to-end development of specific features or services. The centers serve both India-specific business units (for localized product launches, marketplace features, and regional compliance) and global teams (contributing to AWS, Alexa, and international retail engineering). Staffing levels at India development centers are substantial, with thousands of technical employees across multiple campuses and office complexes in Bangalore and other Indian cities. Collaboration and talent activities ADCI participates in local and global hiring, internship, and university outreach programs, recruiting software engineers, interns, and research talent. The centers commonly host hackathons, technical talks, and collaborations with academic institutions. Amazon’s India engineering teams also engage in open-source contributions, developer tooling, and publishing technical content that reflects their engineering work. Legal and corporate context ADCI operates under Amazon’s corporate entities in India (for example, Amazon Development Centre India Pvt. Ltd and related Amazon entities), and the work performed there is integrated into Amazon.com, Inc.’s product and service lines. Public-facing references to ADCI typically appear on Amazon recruitment pages, regional office location pages, and job postings identifying Bengaluru (BLR) and specific campus codes (such as BLR14 SEZ) as work locations. Limitations ADCI is an operational/organizational label within Amazon rather than an independent corporate brand. Specific internal team responsibilities, proprietary architecture details, and exact campus addresses for individual SEZ facilities are published selectively by Amazon (for example, on careers pages and corporate location pages) and may vary over time as Amazon expands or reorganizes its office footprint.
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