AI Engineer, Trust Lab

• 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

Desirable

• As an AI Engineer you will design, build and tune industry leading classifiers for digital content using LLMs, and contribute to training, evaluation, and monitoring new and improved LLMs and other algorithmic models
• You will also contribute to the development of the infrastructure for efficient experimentation, as well as product deployment on our cloud based infrastructure
• As an integral part of the team, you will propose and test new ideas for groundbreaking new approaches that combine human judgement and LLM reasoning to elevate the industry’s approach to content understanding and moderation
• 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