About The Position

Are you interested in recommendation systems that deliver the most enjoyable content to millions of customers? Do you want to invent new ways to seamlessly connect Kids and Parents through books, videos, apps, and more across a growing number of devices? If that sounds like you, then come join the Amazon Kids+ Personalization team! Join a team on a mission to make Kids+ every child's favorite destination to independently create, explore, and learn — and give parents the confidence to let them. Learn more at http://www.amazon.com/kids [http://www.amazon.com/kids]. We are looking for a passionate, hard-working, and talented Applied Scientist who has experience developing state-of-the-art models and deploying them to production. You will have an opportunity to make an enormous impact on the design, architecture, and implementation of products used everyday by real customers! We're a team of experienced engineers and builders who are genuinely passionate about what we make — and who we make it for. Many of us are parents ourselves, and all of us share a deep belief that kids deserve technology that's both safe and genuinely fun. That tension — between delight and trust, between independence and guardrails — is the creative challenge that gets us out of bed in the morning.

Requirements

  • 3+ years of building models for business application experience
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field 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

Nice To Haves

  • Experience using Unix/Linux
  • Experience in professional software development

Responsibilities

  • Using Amazon’s large-scale computing resources, you will design and deploy state-of-the-art recommendation models.
  • You will ask research questions about customer behavior, design state-of-the-art models that help customers discover content, and deploy these models to production alongside other engineers (SDEs, DEs).
  • You will participate in the Amazon ML community and mentor other engineers with a strong interest in and knowledge of ML and generative AI.
  • Your work will directly benefit customers!

Benefits

  • 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
  • parental leave
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