ApplySarthi

Applied Scientist II, Sponsored Products and Brands Off-Search

Amazon

Tailor my CV for this job, freeView job and applyYour CV rewritten for this role, from your real experience. Sign in with Google, nothing to install.

Got this interview? Our apps help you get the job.

Skills named in this job

Read from the description itself, not inferred.

This role on the market

2,189 open scientist roles across 332 companies are on ApplySarthi right now, most of them in Bengaluru (132), Hyderabad (72), Delhi NCR (34).

What scientist roles keep asking for: Python (59%), Machine learning (47%), SQL (27%), C++ (19%), Deep learning (18%), LLMs (17%), Java (17%), R (17%) — 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 · Generative AI jobs · Java jobs

Amazon has 15,999 open roles listed here.

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, C++. Practise those questions before you sit with Amazon.

Questions you are likely to be asked

  1. Why do you want to join Amazon?
  2. What is your experience with Generative AI? Tell me one thing you learned the hard way.
  3. How do you decide which channel to spend budget on?
  4. Tell me about a campaign that did not work. What did you learn?
  5. How do you measure whether your content is working?

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, Sponsored Products and Brands Off-Search at Amazon interview free →

The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through state-of-the-art generative AI technologies, revolutionizing how millions of customers discover 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 - Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization. - Experience developing and deploying models in real-world production environments. Preferred: - Proven expertise in Generative AI, foundation models, LLMs, and/or fine-tuning and customization for downstream tasks. - Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization at web scale. - Deep understanding of multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF). - Experience with online experimentation, A/B testing frameworks, and metrics design for advertising or e-commerce. - Demonstrated ability to communicate complex technical topics clearly to both technical and non-technical audiences. - Experience in computational advertising, including familiarity with auction theory, ad economics, and advertiser performance metrics. 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, NY, New York - 172,400.00 - 223,400.00 USD annually USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually

Match this job to your CV

ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.

Check my match →

Similar open roles

Need answers during your interview? Try Live Sarthi.

Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.

Try Live Sarthi free →

A Windows app, from the same team as ApplySarthi.

Listed on amazon · posted 2026-10-06. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.