Headquarters/Sunnyvale Office, Toronto OfficeUSAgreenhouse2026-06-16
Warum echter KI-Job: The role explicitly focuses on applying and improving machine learning techniques, specifically LLMs, for training, optimization, and deployment. The responsibilities are heavily centered around ML systems and pipelines.
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…
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Toronto OfficeUSAgreenhouse2026-06-16
Warum echter KI-Job: The role is explicitly focused on bringing up and optimizing large language models (LLMs) on specialized hardware. The responsibilities and required skills are heavily centered around AI/ML concepts and implementation.
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…
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Toronto OfficeUSAgreenhouse2026-06-16
Warum echter KI-Job: The role is explicitly focused on LLM inference performance, model evaluation, and optimization on specialized hardware. The responsibilities and required skills are deeply rooted in AI/ML concepts and techniques.
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…
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India OfficeUSAgreenhouse2026-06-16
Warum echter KI-Job: The role is explicitly focused on bringing up and optimizing ML frameworks and models on specialized hardware. The responsibilities directly involve core AI/ML tasks like model architecture translation, compiler optimizations, and performance tuning. The requ…
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…
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San FranciscoUSAFullTimeashby2026-06-16
Warum echter KI-Job: The role is explicitly focused on building and optimizing infrastructure for large-scale LLM inference, a core AI task. The description heavily emphasizes AI/ML technologies and their application.
About Anyscale At Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of li…
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San FranciscoUSAgreenhouse2026-06-16
Warum echter KI-Job: The role is explicitly focused on building and optimizing AI/ML systems, specifically around inference and reinforcement learning for large language models. The responsibilities and requirements heavily emphasize core AI/ML skills and concepts.
About the Role The Turbo team sits at the intersection of efficient inference (algorithms, architectures, engines) and post‑training / RL systems. We build and operate the systems behind Together’s API, including high‑performance inference and RL/post‑training engines that can run at production sca…
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RemoteUSAgreenhouse2026-06-16
Warum echter KI-Job: The role is entirely focused on the development and optimization of LLM inference frameworks, distributed systems, and related technologies. The responsibilities and requirements clearly indicate a core AI/ML engineering position.
About the Role At Together.ai, we are building state-of-the-art infrastructure to enable efficient and scalable inference for large language models (LLMs). Our mission is to optimize inference frameworks, algorithms, and infrastructure, pushing the boundaries of performance, scalability, and cost-e…
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San FranciscoUSAgreenhouse2026-06-16
Warum echter KI-Job: The role is entirely focused on building and optimizing the model serving layer for voice applications, including LLMs, STT, and TTS. It requires deep expertise in ML engineering, inference optimization, and GPU utilization. The responsibilities and requireme…
About the Role Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications — serving speech-to-text and text-to-speech models with best-in-class latency and reliability. We're looking for a…
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Palo AltoFranceFull-timelever2026-06-16
Warum echter KI-Job: The role explicitly focuses on building and optimizing large-scale learning systems for open-weight models, working directly with research scientists on core ML tasks. The description details hands-on work with cutting-edge deep learning techniques and produc…
About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, produ…
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ParisFranceFull-timelever2026-06-16
Warum echter KI-Job: The role explicitly focuses on building and optimizing large-scale learning systems for open-weight models, working directly with research scientists on cutting-edge deep learning techniques and integrating them into production. The job description heavily em…
About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, produ…
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