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Applied Scientist II, Grocery, Retail & In-Store Experience (GRAISE)

Amazon

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Questions you are likely to be asked

  1. Why do you want to join Amazon?
  2. What is your experience with Computer vision? Tell me one thing you learned the hard way.
  3. Tell me about a time you disagreed with your manager. What happened?
  4. Where do you want to be in three years?
  5. What is a weakness you are working on, and how?

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We are looking for a talented Applied Scientist to join our team. In this role, you will design, develop, and deploy machine learning and computer vision models that solve real-world problems at scale Basic qualifications: - 2+ years of solving business problems through machine learning, data mining and statistical algorithms experience - Experience in designing experiments and statistical analysis of results - Experience programming in Java, C++, Python or related language Preferred: - Experience working with large sets of data and deriving practical insights - 2+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience - Experience developing and evaluating data annotation and data quality metrics - Demonstrated ability to take a model from research prototype to production deployment — including performance profiling, latency optimization, and working within serving infrastructure constraints - Track record of clearly documenting experiments, writing technical design documents, and communicating results to cross-functional partners 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 2026-09-30. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.