Senior Applied Scientist — Generative AI Ads

Amazon Inc.; Santa Monica (CA); On-site; USD 150,000 - 260,000; Full time

Job summary

Amazon Ads is seeking a Senior Applied Scientist in Santa Monica to advance cutting-edge ML and generative AI across the advertising lifecycle. You will design, implement, and productionize ML models that optimize ranking, personalization, and measurement at massive scale.

You will collaborate with engineers, researchers, and product leaders to deliver impactful solutions and help shape the future of advertising while maintaining high standards for experimentation and customer experience.

Qualifications

• 5+ years building ML models for business applications.
• PhD or MS with 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related languages.
• Experience with neural deep learning methods and machine learning.

Responsibilities

• Research and implement cutting-edge ML approaches, including generative AI and large language models.
• Develop and deploy ML solutions across ranking, personalization, NLP, CV, recommender systems and LLMs.
• Drive end-to-end projects at massive scale with petabytes of data.
• Build and optimize models balancing multiple stakeholder needs for customers and advertisers.
• Collaborate with engineers, product managers and other scientists to productionize models.
• Design and run A/B experiments to validate hypotheses and measure impact.

Skills

Machine learning

Java/C++/Python

Deep learning

Education

PhD or MS with research

Tools

Spark

TensorFlow

PyTorch

Hadoop

Spark MLlib

Job description

Amazon Ads is seeking a Senior Applied Scientist in Santa Monica to advance cutting-edge ML and generative AI across the advertising lifecycle. You will design, implement, and productionize ML models that optimize ranking, personalization, and measurement at massive scale.

You will collaborate with engineers, researchers, and product leaders to deliver impactful solutions and help shape the future of advertising while maintaining high standards for experimentation and customer experience.