Are you passionate about applying cutting-edge machine learning to solve real-world customer problems? Do you want to build models that impact hundreds of millions of customers globally? This is a unique opportunity to innovate at the intersection of personalization science, large language models, and grocery shopping
As an Applied Scientist on the Grocery Personalization team, you will develop novel machine learning models and features that transform how customers discover and purchase groceries. You'll work on problems ranging from LLM-based techniques for understanding customer preferences and product relationships, transformer-based models for intent prediction, to large-scale real-time ranking systems that personalize the entire grocery shopping journey.
Key job responsibilities
- Innovate new features and models that have huge impact on the customer experience. Help customers find the right grocery products and content throughout their journey.
- Leverage the use of advanced LLM-based techniques to create customer grocery shopping experience at Amazon's scale - for all Amazon customers across all countries in realtime
- Be able to operate 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
- Drive the science roadmap for the team
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 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