Principal ML Investigator

Cerebras builds wafer-scale AI computing systems and a cloud inference platform for training, fine-tuning, and serving AI models.

Sunnyvale, California, United States
About Cerebras Systems, Inc.

Cerebras Systems is an AI-infrastructure company founded in 2015. It sells rack-scale wafer-scale computing systems and provides cloud-based, API-accessible AI inference alongside on-premises deployments.

View jobs by Cerebras Systems, Inc.

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will formulate a new machine-learning effort, build a research and advanced-development team, and organize its agenda. You will adapt algorithms and architectures, train and evaluate models, co-design hardware and software, and work with external partners.

Requirements

  • PhD in computer science or a related field
  • Knowledge of machine-learning theory
  • Experience engineering machine-learning systems for scale or production deployment
  • Experience leading researchers or engineers

Responsibilities

  • Build a team capable of industry research and advanced development
  • Organize advanced-development topics into a cohesive agenda
  • Adapt algorithms and model architectures to the platform
  • Train, tune, and evaluate models for production scenarios
  • Co-design next-generation hardware and software architectures with other teams
  • Collaborate with customers and academic partners