Senior ML Scientist, Personalization & Recommendations

Amazon Science; Seattle (WA); On-site; USD 167,000 - 226,000; Full time

Job summary

Amazon Science in Seattle, WA is seeking an Applied Scientist to build state‑of‑the‑art recommendation models for the Amazon site. You will work on customer-facing features and leverage large-scale data to improve relevance and experience.

You will mentor junior scientists and engineers, evaluate model performance with rigorous experiments, and contribute to the design of end‑to‑end ML systems that run in production at scale.

Qualifications

• PhD or Master’s degree with 4+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• Strong background in deep learning and ML methods.

Responsibilities

• Build state‑of‑the‑art recommendation models that power customer experiences.
• Collaborate across teams to deploy scalable ML systems on Amazon’s platform.
• Mentor Applied Scientists and software engineers; measure impact with scientific tools.

Skills

4+ years building ML models

PhD or Master's + 4+ years applied

Java, C++, Python

Neural deep learning

Education

PhD or Master's + 4+ years applied research

Tools

R

scikit-learn

Spark MLLib

MxNet

Tensorflow

numpy

scipy

Job description

Amazon Science in Seattle, WA is seeking an Applied Scientist to build state‑of‑the‑art recommendation models for the Amazon site. You will work on customer-facing features and leverage large-scale data to improve relevance and experience.

You will mentor junior scientists and engineers, evaluate model performance with rigorous experiments, and contribute to the design of end‑to‑end ML systems that run in production at scale.