Senior Research Engineer - Inference ML

<div class="content-intro"><p><span data-contrast="none">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. </span><span data-ccp-props="{"134233117":false,"134233118":false,"201341983":0,"335559685":0,"335559737":240,"335559738":240,"335559739":240,"335559740":279}"> </span></p> <p>Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. <a href="https://openai.com/index/cerebras-partnership/">OpenAI recently announced a multi-year partnership with Cerebras</a>, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. </p> <p>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.</p></div><p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 3">About The Role</span></span></strong><span data-ccp-props="{"134233117":false,"134233118":false,"134245418":true,"134245529":true,"335559738":281,"335559739":281}"> </span></p> <p><span data-contrast="auto">As a </span><strong><span data-contrast="auto">Senior Research Engineer</span></strong><span data-contrast="auto"> on the Inference ML team at Cerebras Systems, you will adapt today's most advanced language and vision models to run efficiently on our flagship Cerebras architecture. You'll work alongside ML researchers and engineers to design, prototype, validate, and optimize models, gaining end-to-end exposure to cutting-edge inference research on the world's fastest AI accelerator.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="auto">You will focus on pushing the frontier of </span><strong><span data-contrast="auto">speculative decoding</span></strong><span data-contrast="auto">, </span><strong><span data-contrast="auto">large-model pruning and compression</span></strong><span data-contrast="auto">, </span><strong><span data-contrast="auto">sparse attention</span></strong><span data-contrast="auto">, and </span><strong><span data-contrast="auto">sparsity-driven</span></strong><span data-contrast="auto"> techniques to deliver low-latency, high-throughput inference at scale.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 3">Responsibilities</span></span></strong><span data-ccp-props="{"134233117":false,"134233118":false,"134245418":true,"134245529":true,"335559738":281,"335559739":281}"> </span></p> <ul> <li><span data-contrast="auto">Design, implement, and optimize state-of-the-art transformer architectures for NLP and computer vision on Cerebras hardware.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></li> <li><span data-contrast="auto">Research and prototype novel </span><strong><span data-contrast="auto">inference algorithms</span></strong><span data-contrast="auto"> and model architectures that exploit the unique capabilities of Cerebras hardware, with emphasis on </span><strong><span data-contrast="auto">speculative decoding, pruning/compression, sparse attention, and sparsity</span></strong><span data-contrast="auto">.</span><span data-ccp-pr ... (truncated, view full listing at source)