Job Description
Amazon Search is hiring a senior applied scientist in Bengaluru to lead science for search autocomplete: suggestions that anticipate what shoppers want from the first keystroke, in every language and locale Amazon supports. The role uses NLP, ML and deep learning, including bi-encoders, cross-encoders and distillation from large foundation models, under strict precision, recall and latency needs, and helps set the long-term search strategy.
At a glance
- Role: Senior Applied Scientist, Amazon Core Search
- Posted: 18 July 2026
- Focus: Search autocomplete, semantic matching, ranking, multilingual search
- Location: Bengaluru, Karnataka, India
- Job ID: 10478047
- Apply: open until filled (re-checked 13 October 2026)
About the autocomplete science role
- Develop and deploy ML models for high-quality, diverse autocomplete suggestions
- Design and train semantic matching models for suggestion ranking and relevance
- Use reinforcement learning and reward modelling to improve suggestion quality
- Build low-latency, high-precision solutions for all Amazon languages and locales
- Work with leaders on a long-term vision for search
What Amazon is looking for
- A PhD or a master’s degree
- At least 6 years of building machine learning models or algorithms for business applications
- Programming in Java, C++, Python or a related language
- Neural deep learning 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
- Autocomplete specifics: revise prefix matching, query completion models and diversity.
- Latency: suggestions must be instant; be ready to discuss distillation and caching.
- Multilingual: think about transliteration and code-mixed queries.
- Strategy: prepare to discuss a multi-year roadmap.
- 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.