Applied Scientist, Amazon Competitive Monitoring Team (CMT), Bengaluru
Job Description
Amazon is hiring an applied scientist for its Competitive Monitoring team in Bengaluru to work on machine learning, large language models in production and recommender systems. Typical problems include product similarity and price recommendation models whose results reach customers worldwide. The posting describes a hands-on role: researching a problem, testing several approaches quickly, and working with ML engineers so that the best model is the one that actually runs in production.
At a glance
- Role: Applied Scientist, CMT
- Location: Bengaluru, Karnataka, India
- Posted: 7 September 2026
- Focus: Product similarity, price recommendations, LLMs in production, recommender systems
- Job ID: 10530901
- Apply: open until filled (re-checked 13 October 2026)
About the competitive monitoring applied scientist role
- Research the problem domain and propose several ways to solve it
- Experiment quickly and learn from failures
- Work with engineers to build complete solutions to business problems
- Help shape the science roadmap for the team
- Pick up ML engineering skills where needed
- Write maintainable, reproducible code and share results through technical writing and talks
What Amazon is looking for
- Programming in Java, C++, Python or similar
- SQL and a relational database or data warehouse
- Experience building ML models or algorithms for business applications
- Experience with deep learning architecture design, training, optimisation and pruning
Nice to have
- Implementing algorithms both with toolkits and from scratch
- 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.
See all our artificial intelligence jobs, or browse more research jobs on ResearchJobs.in.
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.
- Pricing: think about how you would recommend prices while respecting business constraints.
- LLMs in production: be ready to discuss cost, latency and evaluation of LLM-based features.
- Coding: practise data structures and SQL.
- 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 and Gurugram. Applied scientists work on machine learning problems across retail, logistics, advertising, devices and cloud services.
