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Core ML Engineer at Cerebras Systems - ApplyBlast

Core ML Engineer

Cerebras Systems

22 days ago

Remote

Full Time

Senior

0 applicants

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About this role

The Core ML team develops novel algorithms for efficient large-scale training and inference, seeking an engineer to map these algorithms to the Cerebras architecture and evaluate their performance at scale. This role involves combining analytical performance modeling, empirical benchmarking, and hands-on prototyping to characterize the efficiency frontiers of emerging ML algorithms. The position directly influences research directions, implementation strategies, and future hardware and software capabilities.

Responsibilities

Build analytical and empirical performance models for ML training and inference algorithms
Characterize asymptotic behavior and identify algorithmic trade-offs across scaling parameters
Develop prototype implementations and benchmarks for the Cerebras WSE and GPU baselines

Skills

About Cerebras Systems

cerebras.ai

Headquarters

Sunnyvale, California, United States

Company Size

201-500 employees

Founded

2015

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Cerebras is an AI compute company powering the world's fastest AI inference through its proprietary Wafer-Scale Engine chip, which is purpose-built for ultra-fast AI and 58x larger than GPUs. The company offers cloud, dedicated, and on-premises deployment options, enabling developers and enterprises to serve, fine-tune, and pre-train large models at speeds up to 15x faster than GPU-based systems. Cerebras serves a broad range of customers—from leading AI labs like OpenAI to enterprises in healthcare, finance, and software—through a developer-friendly API with drop-in OpenAI compatibility.