Tech Stack
Responsibilities
- Lead the design and delivery of custom LLM solutions for enterprise customers.
- Translate ambiguous business problems into well-framed ML problems with clear success criteria and evaluation methodologies.
- Build custom models using Cohere’s foundation model stack, CPT recipes, post-training pipelines, and data assets.
- Develop SOTA modeling techniques that directly enhance model performance for customer use-cases and contribute improvements back to the foundation-model stack.
- Mentor engineers across distributed teams and drive clarity in ambiguous situations, building alignment and raising engineering and modeling quality.
Benefits
- Remote Work
Culture
Cross-Functional TeamsMentorship ProgramMission-DrivenCustomer-ObsessedCollaborative Space
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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