AI Engineer – LLM-Based Content Moderation

AI Engineer – LLM-Based Content Moderation

Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Experience in AI/ML, with a focus on NLP, deep learning, and LLMs.
• Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Experience in fine-tuning and deploying transformer-based models like GPT, BERT, T5, or similar.
• Familiarity with evaluation metrics for classification tasks (e.g., F1-score, precision-recall curves) and best practices for handling imbalanced datasets.

Responsibilities

• Design, develop, and optimize AI models for content moderation, focusing on precision and recall improvements.
• Fine-tune LLMs for classification tasks related to abuse detection, leveraging supervised and reinforcement learning techniques.
• Optimize model performance through advanced techniques such as active learning, self-supervision, and domain adaptation.
• Deploy and monitor content moderation models in production, iterating based on real-world performance metrics and feedback loops.

Preferred Qualifications

• Experience working with large-scale, real-world content moderation datasets.
• Knowledge of regulatory frameworks related to content moderation (e.g., GDPR, DSA, Section 230).
• Familiarity with knowledge distillation and model compression techniques for efficient deployment.
• Experience with reinforcement learning (e.g., RLHF) for AI safety applications.