Applied Scientist, AI Moderation & Ads Trust

Amazon Science; New York (NY); On-site; USD 172,000 - 223,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Job summary

Amazon Science is hiring to build and deploy AI Agents and ML models for content understanding in Ads moderation. You will work with engineers and other scientists to scale models across languages and countries, developing production-ready code for moderating millions of ads daily.

The role emphasizes collaboration, experimentation, and innovation, with a focus on measuring business-relevant metrics and delivering scalable moderation solutions across the world.

Qualifications

• PhD or MS with 4+ years of CS/ML related experience.
• Experience building ML models for business applications.
• Publications or patents in top-tier venues desirable.
• Proficiency in Java, C++, Python or related languages.
• Experience with neural deep learning methods and ML techniques.

Responsibilities

• Build and develop AI Agents and ML models for content understanding in Ads moderation.
• Collaborate with engineers and scientists to train and deploy agents and models.
• Develop production-level code enabling moderation of millions of ads daily and measure relevant metrics.

Skills

ML model development

Java/C++/Python

Deep learning

Multimodal ML

Model deployment

Education

PhD or MS + 4+ years CS/ML

Tools

TensorFlow

PyTorch

scikit-learn

Spark MLLib

MxNet

TensorFlow/TF

Job description

Amazon Science is hiring to build and deploy AI Agents and ML models for content understanding in Ads moderation. You will work with engineers and other scientists to scale models across languages and countries, developing production-ready code for moderating millions of ads daily.

The role emphasizes collaboration, experimentation, and innovation, with a focus on measuring business-relevant metrics and delivering scalable moderation solutions across the world.