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Principal ML Investigator

Cerebras· Software Engineering
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Sunnyvale, CAFull-timePosted 3mo ago

About the role

Cerebras Systems is building an ML team to pursue a new ML initiative aligned with existing teams (Field ML, Applied ML, Core ML). The role involves forming and leading a new team, coordinating with current ML groups, and researching areas such as post-training RL, dataset curation, LLM pretraining, sparsity, and various domains (coding agents, reasoning agents, generative language, image, video).

Responsibilities

  • Build up a team capable of industry research and advanced development.
  • Organize various advanced development topics into cohesive agenda.
  • Adapt novel algorithms and model architectures to run on the Cerebras platform.
  • Systematically train, tune, and evaluate models to guide/advise production scenarios.
  • Collaborate with other teams to co-design next-generation hardware and software architectures.
  • Collaborate with external partners (customers, academic) to drive insight and credibility.

Qualifications

  • PhD in Computer Science or related field.
  • Strong grasp of ML theory in one or more of the above areas.
  • Proven experience engineering ML systems for scale or production deployment.
  • Experience leading a team of researchers or engineers.

Skills

Required:PhD in Computer Science or related fieldML theoryEngineering ML systems at scaleLeadership / people management
Last updated Aug 30, 2026. Interested? Apply on the company site.

About Cerebras

Cerebras is the go-to platform for fast and effortless AI training. Learn more at cerebras.ai.

Cerebras is the go-to platform for fast and effortless AI training.

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