Applied Scientist: AI for Ads, Experiments & Impact

Amazon; Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Job summary

Amazon Ads' Sponsored Products and Brands team applies generative AI to transform how customers discover products and engage with brands worldwide. We seek an Applied Scientist to advance ML, econometrics, and data-engineering challenges across search experiences.

You will own end-to-end ML projects, design experiments, and partner with PMs and engineers to productionize models that improve ad relevance and shopper experience.

Qualifications

• 3+ years of building models for business applications.
• PhD or Master’s degree with 4+ years in CS/ML.
• Proficient in Java, C++, or Python.
• Experience with algorithms, data structures, numerical optimization.
• Experience with neural deep learning methods.

Responsibilities

• Drive end-to-end ML projects with ambiguity, scale and complexity.
• Analyze large data sets to develop ideas and size opportunities; build ML models and analyze value.
• Design A/B experiments and analyze results to derive understanding.
• Build automated processes for large-scale feature generation, model training, validation and serving.
• Collaborate with other scientists and productionize ML models.

Skills

ML modeling

Java

C++

Python

Neural networks

Distributed computing

Education

PhD

Master's degree

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Hadoop

Spark

Job description

Amazon Ads' Sponsored Products and Brands team applies generative AI to transform how customers discover products and engage with brands worldwide. We seek an Applied Scientist to advance ML, econometrics, and data-engineering challenges across search experiences.

You will own end-to-end ML projects, design experiments, and partner with PMs and engineers to productionize models that improve ad relevance and shopper experience.