Applied Scientist, Linear Personalization Experience Team (LPEX)
Amazon
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This role on the market
60 open personalization roles across 23 companies are on ApplySarthi right now.
- Product Director – Personalization & Customer InsightJPMorgan
- Manager, Data Scientist -Advanced Recommenders and Personalization Systems (Transformers, LLMs & Reinforcement Learning)Capitalone
- FR - Senior Martech / CDP Specialist – Personalization & Activation Valtech
- Machine Learning Engineer: PersonalizationConstructor.io
- Machine Learning Engineer: PersonalizationConstructor
What personalization roles keep asking for: Machine learning (38%), Python (33%), C++ (25%), Java (25%), Deep learning (17%), LLMs (17%), System design (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 · Deep learning jobs · Java jobs · Python jobs
Amazon has 14,204 open roles listed here.
- Controls Technician, Controls Deployment & Service Indiahyderabad
- Applied Scientist II, RBS Techbengaluru
- Data Scientist II, EU Prime and Marketing Analytics & Science (PRIMAS)bengaluru
- Investigation SME, Flex Investigations and Offboardinghyderabad
- Investigation Specialist II, Flex Investigations and Offboardinghyderabad
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for personalization roles keep coming back to Machine learning, Python, C++, Java. 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 Deep 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, Linear Personalization Experience Team (LPEX) at Amazon interview free →Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing Basic qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 3+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred: - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning - Experience building complex recommendations or personalization systems that have been successfully delivered to customers at significant scale. 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 2026-09-09. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.