Tech Stack
Responsibilities
- Design and deliver custom LLM solutions for enterprise customers, translating business problems into ML problems with clear success criteria.
- Build custom models using Cohere’s foundation model stack, CPT recipes, post-training pipelines, and data assets.
- Develop state-of-the-art modeling techniques to enhance model performance for customer use-cases and contribute improvements back to the foundation-model stack.
- Work with the customer-facing MLE team to identify high-value opportunities for LLMs with enterprise customers.
- Shape LLM performance and influence the capabilities of Cohere’s foundation models through techniques, datasets, evaluations, and insights developed for customers.
Benefits
- Remote Work
Culture
Inclusive HiringWork-Life BalanceRemote WorkCollaborationCustomer-Obsessed
Requirements
Regions: Us
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About cohere
Industry: ai/ml
Size: medium
Cohere trains and deploys frontier models for developers and enterprises to build AI systems powering experiences like content generation, semantic search, RAG, and agents. They focus on scaling intelligence to serve humanity and believe their work is instrumental to AI adoption.
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