US-CA-Menlo ParkUSAFullTimeashby2026-06-16
Warum echter KI-Job: The role is explicitly focused on building and scaling a machine learning platform, specifically for inference and LLM workloads. The responsibilities and requirements heavily emphasize ML systems, frameworks, and serving infrastructure. The company is active…
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collabor…
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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 Francisco, CAUSAgreenhouse2026-06-16
Warum echter KI-Job: The role is explicitly focused on researching and building AI agents, LLMs, and related data infrastructure. The job description heavily emphasizes ML research, model evaluation, and practical application of AI technologies.
About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F rou…
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San Francisco, CAUSAgreenhouse2026-06-16
Warum echter KI-Job: The role explicitly focuses on leading a team of research scientists and engineers working on GenAI research, defining research roadmaps, and translating research into production systems. The core qualifications heavily emphasize ML/AI expertise and publicati…
The Enterprise ML team works on the front lines of the AI revolution, partnering deeply with customers to identify high-impact business problems and build cutting-edge AI systems using Scale’s proprietary research, data, and infrastructure—unlocking domain expertise through high-quality data and ex…
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San Francisco, CAUSAgreenhouse2026-06-16
Warum echter KI-Job: The role explicitly focuses on research and development of machine learning models, synthetic data pipelines, and agent building – all core AI/ML activities. The description emphasizes cutting-edge research and contribution to a GenAI product.
AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, an…
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San Francisco, CAUSAgreenhouse2026-06-16
Warum echter KI-Job: The role is explicitly focused on building and improving RL training infrastructure, directly supporting AI research and model development. The responsibilities center around ML systems and algorithms.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working to…
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London, UKUSAgreenhouse2026-06-16
Warum echter KI-Job: The role is explicitly focused on building and improving RL training infrastructure, directly supporting and accelerating AI research. The responsibilities center around ML models and systems.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working to…
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