Applied Scientist II: ML for Search Ranking & Relevance

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

Benefits offered by this job

Health insurance

401(k) matching

Parental leave

Career growth opportunities

Job summary

Amazon’s Search team in Palo Alto seeks a researcher to invent signals and algorithms for training machine-learned ranking models. You’ll work on features that improve product search quality across millions of products and users, spanning data analysis, prototyping, A/B testing, and production components.

The role emphasizes deep learning model design, large-scale data processing, and collaboration with a fast-moving, customer-centric team in California.

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.
• Experience in algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, 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

Distributed systems

Education

PhD or MS + 4+ yrs CS/CE/ML

Tools

MXNet

TensorFlow

Caffe

PyTorch

Job description

Amazon’s Search team in Palo Alto seeks a researcher to invent signals and algorithms for training machine-learned ranking models. You’ll work on features that improve product search quality across millions of products and users, spanning data analysis, prototyping, A/B testing, and production components.

The role emphasizes deep learning model design, large-scale data processing, and collaboration with a fast-moving, customer-centric team in California.