Applied Scientist - Generative AI for Ads Experience

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

Job summary

Amazon is seeking an Applied Scientist for the Supply Science team within Sponsored Products. You will tackle complex ML and data-science problems to optimize ad experiences and shopper outcomes across Amazon search worldwide.

You will work on predictive modeling, reinforcement learning, experimentation, and data engineering to deliver relevant ads and insights. Candidates should thrive in ambiguity and operate with high rigor in a fast-paced environment.

Qualifications

• 3+ years of building models for business applications.
• 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 with neural deep learning methods and machine learning.

Responsibilities

• Drive end-to-end machine learning projects with ambiguity, scale and complexity.
• Perform analysis on large data sets to develop ideas and size opportunities; build ML models and analyze value.
• Design A/B experiments; work with engineers to launch experiments and analyze results.
• Build automated processes for large-scale feature generation, model training, validation and serving.
• Develop new ML approaches and collaborate with the science community.

Skills

Java

C++

Python

Neural networks

Machine learning

Distributed computing

Data mining

Education

PhD or MSc in CS/CE/ML

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Job description

Amazon is seeking an Applied Scientist for the Supply Science team within Sponsored Products. You will tackle complex ML and data-science problems to optimize ad experiences and shopper outcomes across Amazon search worldwide.

You will work on predictive modeling, reinforcement learning, experimentation, and data engineering to deliver relevant ads and insights. Candidates should thrive in ambiguity and operate with high rigor in a fast-paced environment.