Job Description
Amazon’s Ads Trust Science team in Bengaluru is hiring an Applied Scientist I for content understanding in advertising. The team makes sure ads are relevant and of good quality, using automated systems that check tens of millions of offers from sellers in many countries and languages, and this role builds the visual and text models behind that.
At a glance
- Role: Applied Scientist I, Ads Trust
- Location: Bengaluru, Karnataka, India
- Posted: 11 September 2026
- Education: A master’s degree or equivalent in engineering, CS, ML, operations research, statistics or a related field (completed or in progress)
- Job ID: 10537673
- Apply: open until filled (re-checked 13 October 2026)
About the ads content understanding role
- Build ML models for content understanding problems in ads, using both visual and textual features
- Make models work across many languages and countries
- Build, train and deploy models with engineers and other scientists
- Write production-quality code that supports moderation of millions of ads a day
What Amazon is looking for
- Experience building ML models or algorithms for business applications
- Experience with deep learning architecture design, training, optimisation and model pruning
- A master’s degree or equivalent in engineering, computer science, ML, operations research, statistics or a related field, or be in the process of obtaining one
- Research experience in ML, deep learning, NLP, computer vision or data science
- Programming in Java, C++, Python or similar, and SQL
Nice to have
- Applying theoretical models in an applied setting
- Publications at top peer-reviewed venues
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
- Multimodal basics: revise how to combine image and text encoders, and late versus early fusion.
- Multilingual models: think about how you would handle ads in languages with little labelled data.
- Model compression: pruning is in the requirements; be ready to explain structured versus unstructured pruning.
- Coding round: practise data structures and algorithms in Python or Java.
- Leadership Principles: prepare STAR examples, even at entry level.
About Amazon in India
Amazon runs large science and engineering teams in India, including in Bengaluru, Hyderabad, Chennai and Gurugram. Applied scientists work on machine learning problems across retail, logistics, advertising, devices and cloud services.