Applied Scientist, Real-Time Contextual AI

Amazon Inc.; Seattle (WA); Hybrid; USD 143,000 - 193,000; Full time

Job summary

Amazon.com Services LLC is seeking an Applied Scientist to advance LLMs, semantic retrieval, and customer understanding at scale. You will work on systems that synthesize signals and surface the right context for experiences in milliseconds, influencing search, recommendations, and Alexa.

You will analyze large datasets, run experiments, and ship production-ready models with low latency. The role offers ownership from research to deployment, mentorship, and a chance to push frontier technology

Qualifications

• 3+ years of building models for business applications.
• Expertise in designing experiments and statistical analysis.
• Proven record of research output (patents/publications).
• Strong background in Unix/Linux and professional software development.
• Solid knowledge of algorithms and data structures.

Responsibilities

• Invent and improve contextual retrieval and relevance scoring.
• Fine-tune and evaluate language models for domain-specific understanding.
• Design experiments measuring real customer impact.
• Ship production systems and iterate based on live metrics.
• Collaborate across teams — Alexa, Search, Recommendations.
• Mentor teammates and shape the technical roadmap.

Skills

3+ years building models for business

Designing experiments and statistics

Patents or publications

Unix/Linux

Professional software development

Algorithms & data structures

Education

PhD

Master's in CS/CE/ML or related

Tools

Java

C++

Python

Job description

Amazon.com Services LLC is seeking an Applied Scientist to advance LLMs, semantic retrieval, and customer understanding at scale. You will work on systems that synthesize signals and surface the right context for experiences in milliseconds, influencing search, recommendations, and Alexa.

You will analyze large datasets, run experiments, and ship production-ready models with low latency. The role offers ownership from research to deployment, mentorship, and a chance to push frontier technology