Member Of Technical Staff, MLE
Who are we? Our mission is to scale intelligence to serve humanity.
What this role actually needs.
Who are we? Our mission is to scale intelligence to serve humanity. Responsibilities: - Contribute to 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 (including RLVR), and data assets. - Develop SOTA modeling techniques that directly enhance model performance for customer use-cases. - Contribute improvements back to the foundation-model stack — including new capabilities, tuning strategies, and evaluation frameworks. - Work as part of Cohere’s customer facing MLE team to identify high-value opportunities where LLMs can unlock transformative impact to our enterprise customers. Company context: Cohere builds enterprise AI models, tooling, and infrastructure with meaningful technical hiring across Canada and the United States.
Day-to-day expectations
Cohere lists these responsibilities for the Member Of Technical Staff, MLE role.
- Contribute to 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 (including RLVR), and data assets.
- Develop SOTA modeling techniques that directly enhance model performance for customer use-cases.
- Contribute improvements back to the foundation-model stack — including new capabilities, tuning strategies, and evaluation frameworks.
- Work as part of Cohere’s customer facing MLE team to identify high-value opportunities where LLMs can unlock transformative impact to our enterprise customers.
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Member Of Technical Staff, MLE is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
United States tech market
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Compensation read
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Source: jobs.ashbyhq.com · Source ID: 110ba167-4efd-43b7-85d2-3ff719a28b0f · Confidence: 94/100 · Last checked: May 7, 2026
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