Applied Scientist II - Personalization & LLM

Amazon; Seattle (WA); Vor Ort; USD 143.000 - 193.000; Vollzeit

Benefits dieser Stelle

Health insurance

401(k) matching

Paid time off

Parental leave

Zusammenfassung

Amazon in Seattle seeks an Applied Scientist for Grocery Personalization to develop ML models that transform how customers discover and buy groceries at scale. You will work across science, product, and engineering to prototype and launch features, using LLMs, transformers, and real-time ranking to personalize the entire grocery journey for hundreds of millions of customers.

Strong CS/ML background and collaboration with global teams are required, with a track record of delivering impactful,

Qualifikationen

• 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 algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Aufgaben

• Innovate new features and models that have huge impact on the customer experience.
• 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

Kenntnisse

Java

C++

Python

Algorithms & data structures

Distributed computing

Ausbildung

CS/CE/ML degree

Tools

Unix/Linux

Jobbeschreibung

Amazon in Seattle seeks an Applied Scientist for Grocery Personalization to develop ML models that transform how customers discover and buy groceries at scale. You will work across science, product, and engineering to prototype and launch features, using LLMs, transformers, and real-time ranking to personalize the entire grocery journey for hundreds of millions of customers.

Strong CS/ML background and collaboration with global teams are required, with a track record of delivering impactful,