Senior Personalization Scientist: Recommendations Leader

Socket.dev; Seattle (WA); On-site; USD 167,000 - 226,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking an Applied Scientist to build mission-critical ML models powering recommendations on the shopping site. You will design, implement, and optimize models that influence what customers see and buy, using large-scale data and modern ML techniques.

You will collaborate with researchers and engineers to deploy models on the Amazon platform, mentor team members, and quantify impact through rigorous experiments and metrics.

Qualifications

• 4+ years building ML models for business applications.
• PhD or MS with 4+ years of applied research experience.
• Experience programming in Java, C++, Python.
• Experience with neural deep learning methods.

Responsibilities

• Build state-of-the-art recommendation models for customer experience.
• Run models on the retail website at scale.
• Mentor Applied Scientists and software engineers; measure impact with scientific tools.

Skills

Machine learning

Deep learning

Java/C++/Python

Research

Applied ML in business

Education

PhD in a relevant field

MS with 4+ years of applied research

Tools

TensorFlow

scikit-learn

Spark MLlib

MxNet

NumPy

SciPy

Job description

Amazon is seeking an Applied Scientist to build mission-critical ML models powering recommendations on the shopping site. You will design, implement, and optimize models that influence what customers see and buy, using large-scale data and modern ML techniques.

You will collaborate with researchers and engineers to deploy models on the Amazon platform, mentor team members, and quantify impact through rigorous experiments and metrics.