Amazon
Applied Scientist II, Personalization, Grocery P13N
$143K–$193K
Seattle, WA · Full-time · Posted Aug 26, 2026
- Experience
- 3+ years building models for business application; PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
- Education
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
About the job
Develop machine learning models and features that personalize grocery discovery and shopping, including real-time recommendations and ranking.
What you'll do
- Develop models and features to help customers find relevant grocery products and content throughout their shopping journey.
- Apply LLM-based techniques to personalize grocery shopping at Amazon scale and in real time.
- Collaborate across science, product, design, and engineering; drive the science roadmap from idea through launch.
What they ask for
- 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.
- Programming experience in Java, C++, Python or a related language.
- Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.
Nice to have
- Experience using Unix/Linux.
- Experience in professional software development.
Pay
142,800.00 - 193,200.00 USD annually (base salary)
Tools
LLMs, transformer-based models, Java, C++, Python, Unix/Linux
AI focus
Develop and apply LLM-based techniques to understand customer preferences and product relationships, and build transformer-based models for intent prediction and personalized grocery recommendations.
Model-written summary · the original posting is authoritative