Applied Scientist II - ML & LLMs for Next-Gen Shopping

Amazon; Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

RSUs

Job summary

Amazon is seeking an Applied Scientist to join the WPPO Science team in Search. You will develop large-scale ML systems spanning ranking, reinforcement learning, and large language models (LLMs) to improve the shopping experience for millions of customers.

You will collaborate with scientists and engineers to move features from idea to deployment, optimize algorithms, and measure impact with AB tests. This role requires strong technical depth and clear communication.

Qualifications

• 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.
• 1+ years of building machine learning models or developing algorithms for business application experience.
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Responsibilities

• As an Applied Scientist, you will work with a team to build systems that shape the future of Amazon shopping by generating relevant content with LLMs and assembling a whole page experience that is coherent, dynamic, and interesting.
• You will improve ranking and optimization algorithms and drive features from idea to deployment.
• You will participate in delivering measurable business impact through experimentation (A/B testing).
• You will collaborate with leaders in the field of machine learning and with engineers to scale solutions for millions of customers.

Skills

Java

C++

Python

Education

PhD or Master’s + 4+ years CS/ML

Tools

LLMs

Reinforcement Learning

Distributed computing

Job description

Amazon is seeking an Applied Scientist to join the WPPO Science team in Search. You will develop large-scale ML systems spanning ranking, reinforcement learning, and large language models (LLMs) to improve the shopping experience for millions of customers.

You will collaborate with scientists and engineers to move features from idea to deployment, optimize algorithms, and measure impact with AB tests. This role requires strong technical depth and clear communication.