Applied Scientist II, Alexa for Shopping
Amazon
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This role on the market
2,512 open scientist roles across 380 companies are on ApplySarthi right now, most of them in Bengaluru (145), Hyderabad (77), Delhi NCR (27).
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What scientist roles keep asking for: Python (63%), Machine learning (51%), SQL (29%), LLMs (20%), Deep learning (18%), C++ (18%), R (18%), Java (15%) — counted across their open postings here.
Applied Scientist jobs in the United Kingdom · Applied Scientist jobs in London · Remote Applied Scientist jobs · C++ jobs · Deep learning jobs · Java jobs · LLMs jobs
Amazon has 16,717 open roles listed here.
- Data Center Logistics Specialist, Data Center Logistics Specialistmumbai
- Applied Scientist II, Detail Pagebengaluru
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- Data Scientist, EU Prime and Marketing Analytics & Science (PRIMAS)bengaluru
- Electrical Design Engineer, APAC Data Center Design Engineeringmumbai
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for scientist roles keep coming back to Python, Machine learning, SQL, LLMs. Practise those questions before you sit with Amazon.
Questions you are likely to be asked
- Why do you want to join Amazon?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- What is a weakness you are working on, and how?
- Tell me about yourself, and why this role is the right next step.
- Tell me about a problem you solved at work that you are proud of.
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Practise the Applied Scientist II, Alexa for Shopping at Amazon interview free →We are looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background to help build industry-leading language technology powering Alexa for Shopping, our Basic qualifications: - Master's degree or above in computer science, machine learning, engineering, or related fields - Experience programming in Java, C++, Python or related language - Experience building machine learning models or developing algorithms for business application - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience in patents or publications at top-tier peer-reviewed conferences or journals Preferred: - PhD in computer science, machine learning, engineering, or related fields - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in debugging, profiling, and implementing software engineering best practices in large-scale systems - Strong publication records in top-tier NLP/LLM conferences as NeuRIPS, ICLR, ICML, EMNLP, ACL, NAACL with 500+ citations. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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Listed on amazon · posted 2026-11-11. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.