Principal ML Investigator: AI Systems & Acceleration

Cerebras Systems; Sunnyvale (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Cerebras Systems is building an ML-focused team to launch a new effort aligned with existing ML groups — Field ML, Applied ML, and Core ML. The role involves forming the team, coordinating research, and adapting algorithms to Cerebras hardware for scalable deployment.

The candidate will work with external partners and customers to drive insight, while shaping the agenda across advanced ML topics and production-ready solutions.

Qualifications

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

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 to drive insight and credibility.

Skills

ML theory

Engineering ML systems

Team leadership

Research collaboration

Cross-functional coordination

Education

PhD in Computer Science or related field

Tools

Distributed training frameworks

Triton kernel development

Job description

Cerebras Systems is building an ML-focused team to launch a new effort aligned with existing ML groups — Field ML, Applied ML, and Core ML. The role involves forming the team, coordinating research, and adapting algorithms to Cerebras hardware for scalable deployment.

The candidate will work with external partners and customers to drive insight, while shaping the agenda across advanced ML topics and production-ready solutions.