ML Scientist, Search Ranking & Relevance

Amazon Science; Palo Alto (CA); On-site; USD 172,000 - 222,000; Full time

Job summary

Amazon Science in Palo Alto is seeking a researcher to advance product search relevance. You will invent signals and algorithms to train neural ranking models and work across data analysis, prototyping, and production deployment for a scalable search system used by millions of customers.

The role involves evaluating approaches with offline benchmarks and online experiments, collaborating with researchers and engineers, and sharing findings at internal and external venues.

Qualifications

• PhD or Master's degree with 4+ years of CS/CE/ML experience.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or HPC.

Responsibilities

• Analyze data and metrics from traffic into Amazon's product search service.
• Design, build, and deploy ML solutions to improve search ranking.
• Evaluate solutions via offline benchmarks and online A/B tests in production.
• Publish and present work at internal and external venues in ML/NLP/IR.

Skills

Java

C++

Python

Education

PhD

Master's degree

Tools

MXNet

TensorFlow

Caffe

PyTorch

Job description

Amazon Science in Palo Alto is seeking a researcher to advance product search relevance. You will invent signals and algorithms to train neural ranking models and work across data analysis, prototyping, and production deployment for a scalable search system used by millions of customers.

The role involves evaluating approaches with offline benchmarks and online experiments, collaborating with researchers and engineers, and sharing findings at internal and external venues.