Principal ML Investigator
Core
Leading a new ML team to formulate and execute advanced research and development efforts aligned with Cerebras' unique hardware architecture.
Role type
Principal ML Investigator (Strategy & Team Building)
Builds
New ML capabilities and teams focusing on post-training, RL, dataset curation, LLM pretraining, and sparsity for Cerebras hardware.
Domain
AI Hardware / Large Language Models / Reinforcement Learning
Deliverable
production ML models
Required skills
ML theory, engineering ML systems for scale, leading research teams, adapting novel algorithms to hardware, systematic model training and evaluation
Preferred skills
patents or publications in top-tier venues, LLM experience, distributed training frameworks, training speed optimizations, low-level kernel development, system performance modeling
Technologies
Cerebras platform, Triton, LLMs (GPT, Llama)
Responsibilities
Build a team capable of industry research and advanced development, Organize advanced development topics into a cohesive agenda, Adapt novel algorithms and model architectures to run on the Cerebras platform, Systematically train, tune, and evaluate models to guide production scenarios, Collaborate with other teams to co-design next-generation hardware and software architectures, Collaborate with external partners to drive insight and credibility
Seniority
Principal, strategy & mentorship
