Principal Machine Learning Engineer, Platform Integrity Engineering, Level 7

What you'll do

• Design, implement, and scale machine learning models to protect users from harmful content and bad actors.
• Promote a healthy content ecosystem through effective moderation and automated tasks with high precision.
• Ensure regulatory compliance by developing systems that identify and mitigate platform risks.
• Up-level the machine learning tech stack and improve overall organizational performance.
• Provide technical direction that influences the entire machine learning community.
• Advocate for and apply best practices regarding availability, scalability, operational excellence, and cost management.
• Evaluate product requirements and trade-offs to deliver innovative solutions for complex problems.

What we're looking for

• Bachelor's in a technical field such as computer science, mathematics, or statistics, or equivalent years of experience.
• 9+ years of post-Bachelor’s machine learning experience; or a Master’s degree plus 8+ years; or a PhD plus 5+ years.
• 2+ years of experience with technical leadership or acting as a domain expert to a technical organization.
• Experience developing and shipping performant and scalable machine learning models using TensorFlow, PyTorch, or related frameworks.
• Strong understanding of deep learning, computer vision, NLP, and LLM/VLM approaches applied to Trust and Safety or Content Moderation.
• Experience in online safety and integrity, including Trust and Safety, Content Moderation, and Content Quality (preferred).
• Experience developing multimodal models and LLMs/VLMs for harmful content detection using social, time sequence, and behavioral signals (preferred).
• Advanced degree in machine learning, computer vision, natural language processing, or mathematics (preferred).