Associate Machine Learning Engineer, Trust & Safety Intelligence

What You'll Do

• 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
• 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

Who You Are

• You’re passionate about using AI to make digital spaces safer and more inclusive
• You have a working knowledge of machine learning fundamentals and hands-on experience with Python and modern ML frameworks like PyTorch or TensorFlow
• You have experience working with large datasets, model evaluation, and data exploration in SQL or similar tools
• You have knowledge and/or experience building workflows that integrate LLMs and data into autonomous, multi-step workflows
• You collaborate well with others and communicate clearly across disciplines
• You have 1+ years of experience (academic or professional) applying ML, NLP, or data science methods to real-world problems
• You’re eager to learn continuously, refine your craft, and contribute to technology that makes a real impact

Where You'll Be

• We offer you the flexibility to work where you work best! For this role, you can be within the United States region as long as we have a work location.
• This team operates within the Eastern Time Zone for collaboration.