Cohere

Cohere is seeking a Senior/Staff Member of Technical Staff, Applied ML to work directly with enterprise customers on problems that push LLMs to their limits. This role involves designing custom LLM solutions, delivering production-ready models, and training/customizing frontier models using Cohere's full stack. The position also influences Cohere's foundation models and requires operating with early-startup level ownership. Responsibilities include technical leadership, solution design, modeling, customization, customer-facing impact, and team mentorship.

This role focuses on applying and customizing Cohere's frontier LLMs for enterprise customers, involving post-training, retrieval, and agent integrations. The individual will design and deliver production-ready models, influence the development of foundation models, and operate with significant ownership, combining application, research, and customer-facing engineering.

Cohere is seeking a Senior Member of Technical Staff to focus on Multimodal AI. This role involves designing and developing cutting-edge multimodal AI systems integrating text, speech, and vision. The candidate will conduct research and experiments on advanced compute infrastructure, exploring novel ideas in multimodal representation learning and transfer learning. The role requires strong software engineering skills, proficiency in Python and deep learning frameworks (JAX, PyTorch, TensorFlow), and knowledge of distributed training strategies for large-scale multimodal models. Experience with autoregressive models for tasks like image/video captioning and speech-to-text is beneficial. The ideal candidate enjoys tuning and optimizing large multimodal models and building evaluations to measure their performance.