Tech Lead Machine Learning Engineer - Multimodal/LLM, Trust and Safety

We play a critical role in detecting and preventing harmful content, mitigating platform abuse, and maintaining a safe, trustworthy environment for users around the world.

Content moderation represents one of the most impactful and technically complex applications of large-scale machine learning. It is also a frontier domain for Large Language Models (LLMs) and multimodal foundation models. By joining our team, you will work at the cutting edge of ML innovation, tackle highly challenging real-world safety problems, and drive meaningful societal impact at global scale. Responsibilities:

• Own the design and delivery of a core system module within a key content safety vertical
• Lead ML engineers to deliver high-quality, production-ready solutions with strong technical rigor.
• Architect and implement end-to-end ML pipelines, including data processing, model training, evaluation, deployment, and monitoring.
• Apply advanced CV/NLP/LLM techniques to solve real-world moderation challenges across video, image, text, and audio.
• Continuously improve model performance through data analysis, error diagnosis, feature engineering, and model innovation.
• Collaborate closely with cross-functional partners (product, policy, operations etc.) to ensure technical solutions align with evolving business and safety requirements.

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