principal machine learning Research Scientist ic Phd's

About this role

Cerebras Systems is hiring a principal-level Research Scientist in the machine learning function based in Sunnyvale, CA. The posting calls out experience with C#, LLMs, Reinforcement Learning, Data Structures. Listed education preference: a Ph.D. or equivalent.

Role
Research Scientist
Function
machine learning
Level
principal
Track
Individual contributor
Employment
Full-time
Location
Sunnyvale, CA
Education
Ph.D. preferred
Department
Machine Learning Departments
AI Summary
Lead a new ML team at Cerebras focusing on post-training, reinforcement learning, dataset curation, LLM pretraining, sparsity, or domain-specific applications. Partner with ML leadership to formulate strategy, build capabilities, and coordinate across Field, Applied, and Core ML teams.

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Job description

from Cerebras Systems careers

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.

Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

About The Role

This is an excerpt. Read the full job description on Cerebras Systems careers →
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