Senior Applied Scientist, Amazon Music Search Science, Bengaluru
Job Description
Amazon Music’s Search Science team is hiring a senior applied scientist in Bengaluru to lead core science work on music search and content discovery. The role sets and delivers the science roadmap for search relevance, personalisation and retrieval, using deep learning, large language models and agentic workflows, while shaping a longer-term move towards deeper semantic understanding and cross-domain audio understanding. The posting describes it as a lead-by-example role whose work reaches millions of listeners worldwide.
At a glance
- Role: Senior Applied Scientist, Amazon Music Search Science
- Posted: 9 September 2026
- Focus: Music search relevance, ranking, intent matching, personalisation, LLMs and agentic workflows
- Location: Bengaluru, Karnataka, India
- Job ID: 10533953
- Apply: open until filled (re-checked 13 October 2026)
About the music search science role
- Define and deliver the technical and scientific roadmap for Amazon Music’s search systems, balancing near-term features with long-term scalability
- Design and build machine learning solutions with deep learning, LLMs and agentic workflows for search, ranking and intent matching
- Improve search relevance, personalisation and retrieval performance for customers worldwide
- Work with product managers, engineering leaders and peer teams to align technical direction
- Raise the technical bar and mentor other scientists
What Amazon is looking for
- At least 3 years of building machine learning models for business applications
- A PhD, or a master’s degree and at least 6 years of applied research experience
- Programming in Java, C++, Python or a related language
- Experience with neural deep learning methods and machine learning
Nice to have
- Modelling tools such as R, scikit-learn, Spark MLlib, MXNet, TensorFlow, NumPy and SciPy
- Large-scale distributed systems such as Hadoop and Spark
Pay and location
Amazon’s posting does not state a salary; pay is discussed during the hiring process. The role is based in Bengaluru, India.
How to apply
Apply through the official Amazon job posting. Amazon’s posting does not give a closing date, so the role is open until filled; ResearchJobs.in will re-check this listing on 13 October 2026. Amazon lists the minimum and preferred qualifications on the posting; read both before applying. Check the posting for location and work-authorisation details before you apply.
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Hiring institution: Amazon
Official advertisement: www.amazon.jobs
How to prepare for this application
- Search and ranking depth: revise learning-to-rank, dense retrieval, query understanding and offline/online evaluation (NDCG, A/B tests).
- LLMs in search: be ready to discuss retrieval-augmented generation, LLM re-rankers and agent-style query handling, with their cost and latency.
- Leadership stories: the role sets a roadmap, so prepare examples where you chose between short-term wins and long-term architecture.
- Music-specific problems: think about ambiguous queries (artist vs song vs mood), multilingual catalogues and cold-start content.
- Leadership Principles: Amazon interviews lean on them; prepare two or three STAR stories for each.
About Amazon in India
Amazon runs large science and engineering teams in India, including in Bengaluru, Hyderabad, Chennai, Pune and Gurugram. Applied scientists and data scientists work on machine learning problems across retail, logistics, advertising, devices, payments and cloud services.
