Applied Scientist II, Natural Language and Multimodal Search
Amazon.com Services LLC
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This role on the market
23 open multimodal roles across 11 companies are on ApplySarthi right now, most of them in Pune (1).
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What multimodal roles keep asking for: Computer vision (39%), Python (30%), Machine learning (26%), Deep learning (22%), PyTorch (22%), LLMs (17%), AWS (13%), Rust (13%) — counted across their open postings here.
Applied Scientist jobs in the United States · Applied Scientist jobs in Seattle · Remote Applied Scientist jobs · C++ jobs · Computer vision jobs · Deep learning jobs · Java jobs
Amazon.com Services LLC has 4,337 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for multimodal roles keep coming back to Computer vision, Python, Machine learning, Deep learning. Practise those questions before you sit with Amazon.com Services LLC.
Questions you are likely to be asked
- Why do you want to join Amazon.com Services LLC?
- What is your experience with NLP? Tell me one thing you learned the hard way.
- Where do you want to be in three years?
- What is a weakness you are working on, and how?
- Tell me about yourself, and why this role is the right next step.
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Applied Scientist II, Natural Language and Multimodal Search at Amazon.com Services LLC interview free →Amazon Search is reinventing how customers find products through natural-language and semantic understanding. We are looking for an Applied Scientist II to push the science behind Natural Language Search Basic qualifications: - PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications Preferred: - Experience in machine learning, data mining, information retrieval, statistics or natural language processing - 1+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience - Experience with A/B testing - Experience in practical work applying ML to solve complex problems for large scale applications - Publications in ML, IR, or NLP venues (e.g., NeurIPS, ICML, SIGIR, KDD, ACL) - Experience training large-scale or deep neural ranking/relevance models - Experience taking ML models from prototype to production 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
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Listed on amazon · posted 2026-07-10. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon.com Services LLC, not by us.