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Cohere is looking to scale intelligence to serve humanity by training and deploying frontier models for developers and enterprises, and this role is key to making modelling decisions based on experimental outcomes for large language models (LLMs)

Requirements

• Extremely strong software engineering skills
• Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance
• Prior experience building front-end visualization systems and dashboards
• Familiarity with ML systems evaluations
• Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX)

Responsibilities

• Design tools and visualizations that enable researchers and engineers to compare and analyse hundreds of model evaluations
• Develop an understanding of the relative merits and limitations of each of our model evaluations, as well as suggest new facets of model evaluation

Other

• Excellent communication skills to collaborate effectively with cross-functional teams and present findings
• One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP)
• Ability to work in a remote-friendly environment
• Ability to work with a team and collaborate effectively
• Ability to require accommodations during the recruitment process if needed