Job Description
Amazon’s Competitive Monitoring team (CMT) is hiring an Applied Scientist I in Chennai, an entry-level applied science role. The team works on machine learning, large language models in production and recommender systems, and a typical day might involve improving models for product similarity or price recommendations, working with ML engineers so that the best models reach production, writing reusable code, and sharing work through technical writing and talks.
At a glance
- Role: Applied Scientist I, CMT
- Posted: 20 August 2026
- Focus: Product similarity, price recommendations, LLMs in production, recommender systems
- Location: Chennai, Tamil Nadu, India
- Job ID: 10507927
- Apply: open until filled (re-checked 13 October 2026)
About the CMT applied scientist role
- Research the problem domain and propose several ways to solve it
- Experiment quickly and learn from what fails
- Work with engineers on complete end-to-end solutions
- Contribute ideas to the science roadmap for CMT
- Learn topics outside applied science where needed, such as ML engineering, and write maintainable, reproducible code
What Amazon is looking for
- Programming in Java, C++, Python or a related language
- Experience with SQL and a relational database (such as Oracle) or a data warehouse
Nice to have
- Implementing algorithms both with toolkits and with your own code
Pay and location
Amazon’s posting does not state a salary; pay is discussed during the hiring process. The role is based in Chennai, 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
- Similarity models: revise product matching with text and image embeddings and how to evaluate matches at scale.
- Recommender basics: collaborative filtering, two-tower models and ranking metrics are fair game.
- Coding: the basic requirements are programming and SQL, so practise both.
- Show curiosity: the posting values fast experiments and learning outside your comfort zone; bring an example.
- 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.