The opportunity
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
What you'll do
Strong statistical skills and experience evaluating scientific experiments: related to data collection and model performance.
Extremely strong software engineering skills.
Strong expertise in designing and conducting data collection tasks, including working with human annotators.
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.
Familiarity with evaluating and improving the generalizability and robustness of ML systems.
What they're looking for
- Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX).
- 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).
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
