Model Optimization Jobs

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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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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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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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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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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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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Warum echter KI-Job: The role explicitly focuses on AI research and development, specifically large language models (LLMs) and their application to Perplexity's core products. The responsibilities are heavily centered around model training, optimization, and implementation, indic…

Perplexity is seeking top-tier AI Research Scientists and Engineers to advance our AI products and capabilities. We're building the future of AI-powered search and agent experiences through our Sonar models, Deep Research Agent, Comet Agent, and Search products. Join us in creating SOTA experiences…

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Warum echter KI-Job: The role is explicitly focused on applied AI research, building agentic systems, optimizing models, and evaluating AI performance in critical applications. The job description heavily emphasizes AI/ML/LLM concepts and their practical implementation.

Scale’s mission is to develop reliable AI systems for the world's most important decisions. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact…

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Warum echter KI-Job: The role explicitly focuses on designing, deploying, and optimizing machine learning models, specifically LLMs, for content understanding and abuse prevention. The core responsibilities are deeply rooted in AI/ML engineering.

About the Team The Integrity team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. The Integrity team is at the front lines of defe…

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Warum echter KI-Job: Der Jobtitel ist 'Machine Learning Software Engineer' und die Beschreibung beinhaltet klare, überwiegende KI-Arbeiten im Bereich autonomer Fahrzeuge. Die Aufgaben beziehen sich auf ML-Perzeption, Planung, Modellentwicklung, Deployment und Optimierung. Erfahru…

About Applied Intuition Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the…

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