Applied Scientist II, Personalization

Amazon

San Francisco (CA)

On-site

USD 142,800 - 193,200

Full time

14 days+

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Benefits offered by this job

Sign-on bonus/RSUs
Health insurance
401(k) matching
Paid time off

Job summary

Amazon is seeking an Applied Scientist to help re-imagine the shopping experience with state-of-the-art LLM-based techniques and transformer models to understand customer intent and personalize content. You will join a multidisciplinary team and deliver new features that impact customer experience, building large-scale real-time ranking systems and deployments across Amazon's global customer base.

This role offers a comprehensive benefits package including RSUs, sign-on, health insurance,

Qualifications

  • 3+ years of building models for business applications.
  • 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 algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Responsibilities

  • Deliver new features and models that have huge impact on the customer experience. Build ML models for scalable ranking and personalization across Amazon's ecosystem.
  • Work with a multidisciplinary team to see ideas from inception to launch and impact millions of customers.
  • Propose and innovate on the science roadmap across multiple projects.

Skills

Modeling for business applications
Programming: Java/C++/Python
Algorithms & data structures
Data mining

Education

PhD or MS + 4+ years CS/CE/ML

Tools

Unix/Linux
Software development

Job description

Job ID: 10455933 | Amazon.com Services LLC

Do you want to transform the way people shop at Amazon? We are looking for stellar applied scientists to be part of our multi-disciplinary team. We are re‑imagining the future of the Amazon shopping experience for customers through tailoring it to their current intent. We understand what customers are interested in shopping for, and guide them to discover what they need as they shop. If you love building new technology that helps customers solve their problems, this is your opportunity to impact millions of customers. Come help us build the future of personalized shopping at Amazon!

As an Applied Scientist on the team, you will work on science innovation in our space across a large multidisciplinary team. You will have a breadth of problems to work on, ranging from developing state-of-the-art LLM‑based techniques to reason about customers and products, developing deep learned transformer‑based models to understand and abstract customer intent signals and representations, building large‑scale real‑time multi‑task ranking systems, and more. You will build technology employed by teams across the company, while also having a direct connection to millions of customers through our own customer facing features every day. Come join us in the journey!

Key job responsibilities
  • Deliver new features and models that have huge impact on the customer experience. Help customers find the right products and content on their shopping journey. Leverage the use of advanced machine learning to create customer shopping experience at Amazon's scale - for all Amazon customers across all countries in realtime
  • Be a key contributor on a multidisciplinary team across science, product, design, and engineering to see through ideas from inception, prototype, to launch in the hands of all Amazon's customers
  • Propose and innovate on the science roadmap across multiple projects
About the team

Our vision is to build the next generation of shopping experience at Amazon through personalization and understanding the customer's intent. We imagine our core experiences to work together as a talented personal shopping assistant would — a partner that is knowledgeable, understands your preferences, and helps you find the right solution for your needs. We aim for the quality of personalization to be a core reason customers choose Amazon, on par with Earth’s largest selection, low prices, and fast and free shipping.

Our team is part of Amazon’s Personalization organization, a high-performing group that leverages Amazon’s expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. We run global experiments and our work has revolutionized e‑commerce with features such as "Keep shopping for ...", “Customers who bought this item also bought”, and “Frequently bought together”. Amazon’s internal surveys regularly recognize us as one of the best engineering organizations to work for in the company, with visible high‑impact work, low operational load, respectful work‑life balance, and continual opportunity to learn and grow.

Basic Qualifications
  • 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
Preferred Qualifications
  • Experience using Unix/Linux
  • Experience in professional software development

The base salary range for this position is 142,800.00 - 193,200.00 USD annually. 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.

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.

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