Member of Technical Staff, Safety for Agents at Cohere

Candidates should possess strong statistical skills and experience evaluating scientific experiments related to data collection and model performance, extremely strong software engineering skills, and expertise in designing and conducting data collection tasks, including working with human annotators. They should have experience analyzing datasets with respect to their quality, biases, and suitability for training ML models, hands-on experience training large language models (LLMs) on distributed training infrastructures, and 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) is required, along with a demonstrated record of publication in top-tier machine learning venues such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, or EMNLP.