Senior Member of Technical Staff (Safety and Security for Agents)

Join our team as a Senior Member of Technical Staff in the Safety for Agents team. You will play a crucial role in developing better and fairer Large Language Models (LLMs) by focusing on data generation, post-training algorithms, and evaluation methods. You will collaborate with cross-functional machine learning teams, data annotation teams, and product and policy teams. This role requires expertise in machine learning, ethical and responsible AI, experimental design, and data generation and management. You will have a lot of autonomy and decision-making power, making a meaningful impact on society as a whole.

• Contribuer au développement de modèles de langage de grande taille (LLM) plus sûrs et plus équitables en se concentrant sur la génération de données, les algorithmes post-formation et les méthodes d'évaluation.
• Collaborer avec d'autres équipes de machine learning et d'annotation de données pour mettre en œuvre des solutions innovantes et tester des approches expérimentales.
• Utiliser des compétences en ingénierie et en science des données pour résoudre des problèmes scientifiques nouveaux et complexes, en travaillant de manière autonome au sein d'une petite équipe.
• If any of the above doesn’t line up exactly with your experience, we still encourage you to apply
• Familiarity with evaluating and improving the generalizability and robustness of ML systems
• Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX)
• Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance
• Excellent communication skills to collaborate effectively with cross-functional teams and present findings
• Experience analyzing datasets with respect to their quality, biases, and suitability for training ML models
• One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP)
• Extremely strong software engineering skills
• Hands-on experience training large language models (LLMs) on distributed training infrastructures
• Strong expertise in designing and conducting data collection tasks, including working with human annotators