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Jobs/San Francisco/Member Of Technical Staff, Senior/Staff MLE
San Francisco, CA

Member Of Technical Staff, Senior/Staff MLE

Who are we? Our mission is to scale intelligence to serve humanity.

Company
Cohere
Compensation
Not listed
Schedule
Full-Time
Role overview

What this role actually needs.

Who are we? Our mission is to scale intelligence to serve humanity. 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 (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 closely with enterprise customers to identify high-value opportunities where LLMs can unlock transformative impact. Company context: Cohere builds enterprise AI models, tooling, and infrastructure with meaningful technical hiring across Canada and the United States.

Responsibilities

Day-to-day expectations

Cohere lists these responsibilities for the Member Of Technical Staff, Senior/Staff MLE role.

  • 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 (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 closely with enterprise customers to identify high-value opportunities where LLMs can unlock transformative impact.
UpJobz market context

Why this listing is more than a copied job post.

Member Of Technical Staff, Senior/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

The employer source does not expose a reliable salary range, so candidates should ask for compensation early instead of waiting until late-stage interviews.

Work authorization read

Current extracted signal: United States residents. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.

Location read

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Turn this listing into an application plan.

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Next moves

  • Tailor your resume around ai and llm instead of sending a generic application.
  • Use the first two bullets of your application to connect your background directly to member of technical staff, senior/staff mle is a high-signal remote role in san francisco, and it is most realistic for united states residents.
  • Open the role quickly if it fits and bookmark three similar jobs before you leave the page.

Interview themes

Artificial IntelligenceRemoteaillmmachine-learningresearch

Watchouts

  • Compensation is hidden, so get range clarity in the first recruiter conversation.
  • Use united states residents as part of your positioning so the recruiter does not have to infer it.
  • Lead with distributed collaboration, async delivery, and timezone discipline.
Role signals

Keywords to match against your background

Use these terms to decide whether your resume, portfolio, and recent projects line up with the role.

aillmmachine-learningresearchpythonapiinfrastructure
Next step

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Source: jobs.ashbyhq.com · Source ID: 86b305e5-84fe-47ab-bc5c-b79a74a63194 · Confidence: 94/100 · Last checked: May 7, 2026

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