Cohere

Senior

Build data generation, post-training, and evaluation methods to make Cohere's agentic LLMs safer and more secure

Cohere's Safety for Agents team is hiring a senior MTS to work on data generation, post-training algorithms, and evaluation methods for LLMs that can access external tools and take actions in the world. The role blends ML research, experimental design, and hands-on engineering with human-annotator data pipelines, requiring publication-level research credibility (a paper at a top venue like NeurIPS/ICML/ACL) plus strong software engineering. Expect deep technical questions on distributed LLM training, dataset quality/bias analysis, and designing evaluations for agent safety and robustness.