Senior Research Scientist, RBS Tech
Amazon’s Retail Business Services Technology team is hiring a Senior Research Scientist in Bengaluru. The team develops machine-learning systems that improve customer and selling-partner experiences, including product-data quality and operations automation. Its work covers generative AI, language and image understanding, multimodal agents and the application of research to large-scale services.
Opening at a glance
| Employer | Amazon / ADCI – BLR 14 SEZ |
|---|---|
| Job ID | 10593274 |
| Location | Bengaluru, Karnataka, India; onsite |
| Employment type | Full-time job |
| Salary | Not Disclosed |
| Application deadline | Not Disclosed |
| Original posting date | 2026-10-30 |
Responsibilities
- Design and deploy scalable generative-AI, NLP and computer-vision solutions for customer-experience problems.
- Develop LLM, deep-learning and statistical approaches for automation, text and image processing, pattern recognition and anomaly detection.
- Define research and experimentation strategy, iteratively improve models, and partner with business and engineering teams on complex problems.
- Coach colleagues and improve technical practices; guide patents or research publications where suitable opportunities arise.
Required qualifications
Basic qualifications include at least three years investigating the application of scientific principles and concepts to business problems or products. Applicants need a PhD, or a master’s degree together with at least five years of quantitative-field research experience. Experience with big-data technologies such as AWS, Hadoop, Spark, Pig or Hive, and communicating qualitative research methods and findings to non-qualitative researchers, is also required.
Skills, preferences and fit
The team describes multimodal text-and-image understanding, supervised and unsupervised methods, multi-task learning, multi-label classification, customer-anecdote analysis and similarity or retrieval systems. Experience turning studies into real-world changes and with discrete or continuous optimisation methods is preferred. Candidates should distinguish the degree-and-research route from the separate three-year application-of-science requirement; one short experience label cannot replace the full eligibility text. The notice does not disclose salary, an application deadline or a fixed employment tenure.
Pay, location and application timing
The official listing does not disclose a salary figure, fixed-versus-variable compensation breakdown or closing date. No numerical salary or guaranteed bonus should be assumed. It is listed as a full-time job; a fixed contract duration is not disclosed. The official location record is onsite, and work from home is not advertised. The Apply now route was open when checked on 2 November 2026, leading to Amazon’s candidate sign-in service. Availability can change, so check the current page before applying.
How to apply
- Open the official Amazon listing linked below and confirm Job ID 10593274. Read both the basic and preferred qualifications.
- Select Apply now. Sign in or create your candidate account on Amazon’s application service when prompted.
- Complete your candidate profile and the application questions shown for this opening. Keep your education, employment dates and relevant experience accurate.
- Submit through the official application flow and retain the confirmation or application-status record provided by Amazon.
The public notice does not promise an interview or selection after application. Candidates requiring an accommodation can use the accommodation guidance linked on Amazon’s job page or contact their recruiting partner as directed there.
