Associate Machine Learning Engineer, Trust & Safety Intelligence

In this role, you will:

-Build and evaluate ML models that identify, prioritize, and mitigate harmful or risky behavior on the platform

-Support model monitoring and performance tracking to ensure reliability, transparency, and accountability

-Develop scalable ML pipelines using standard best practices for model development and deployment

Additionally, you will:

-Explore emerging GenAI tools and frameworks to identify practical, compliant use cases that improve workflow efficiency

-Communicate results clearly and document technical decisions to promote shared understanding across teams

-Collaborate with cross-functional partners in engineering, data, policy, and product to align technical outcomes with safety and compliance goals