Machine Learning Scientist, Search Relevance

Amazon; Irvine (CA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Search team creates customer-focused search solutions and technologies. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day.

Joining this team, you’ll work on universal signals and ML ranking models to improve product search. You’ll prototype, analyze data, run offline benchmarks and online A/B tests, and deploy production components.

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

Responsibilities

• Analyze the data and metrics resulting from traffic into Amazon's product search service.
• Design, build, and deploy effective and innovative ML solutions to improve search ranking.
• Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production.
• Publish and present your work at internal and external scientific venues in the fields of ML/NLP/IR.

Skills

Java

C++

Python

Algorithms

Tools

MXNet

TensorFlow

Caffe

PyTorch

Job description

Amazon Search team creates customer-focused search solutions and technologies. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day.

Joining this team, you’ll work on universal signals and ML ranking models to improve product search. You’ll prototype, analyze data, run offline benchmarks and online A/B tests, and deploy production components.