San Francisco, CAUSAgreenhouse2026-06-08
Warum echter KI-Job: Die Rolle ist eindeutig auf führende Forschung in KI, insbesondere in Generative AI, Agenten und RL-Systemen ausgerichtet. Die Aufgaben beinhalten die Leitung einer Forschungsgruppe, die Entwicklung von Forschungsroadmaps und die Umsetzung von Prototypen in r…
Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutting-edge research, large-scale engineering, and real-world deployment, partnering with leading frontie…
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Zscaler · Office - Bangalore, India
95/100
Office - Bangalore, IndiaUSAgreenhouse2026-09-10
Warum echter KI-Job: The role explicitly focuses on developing and deploying machine learning models and Generative AI solutions, specifically Agentic AI architectures. The job description emphasizes LLMOps, productionization of AI agents, and optimization of ML models.
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any locatio…
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IndiaGlobalgreenhouse2026-09-10
Warum echter KI-Job: The role explicitly focuses on building AI agents for automating software development tasks (merge requests, testing, security). The job description heavily emphasizes AI/ML application, agentic frameworks, and AI-driven solutions. It's a core AI engineering…
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the…
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Reddit · Remote - United States
95/100
Remote - United StatesUSAgreenhouse2026-09-10
Warum echter KI-Job: The role explicitly focuses on leading ML teams to improve relevance and personalization using cutting-edge ML solutions, including LLMs. The responsibilities are heavily centered around building and optimizing production ML systems.
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximatel…
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United StatesUSAgreenhouse2026-09-10
Warum echter KI-Job: The role explicitly focuses on architecting and implementing machine learning solutions, including recommendation engines, ranking systems, and LLMs. It involves leading ML, Data and Product engineers and spearheading ML applications. The description clearly…
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible f…
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P-1 AI · San Francisco Bay Area
95/100
San Francisco Bay AreaGermany/USAFullTimeashby2026-09-10
Warum echter KI-Job: The role is explicitly focused on building and improving an AI agent (Archie) for engineering tasks. The description details work with LLMs, agentic harnesses, model training, and production deployment of AI systems. This is a core AI research and engineering…
TL;DR: If you: - have a demonstrated track record of turning ambitious AI ideas into products people actually use; - move effortlessly between research and engineering; - have shipped something extraordinary, at work or outside of it; - are relentlessly curious about how things work… … you should a…
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United States and CanadaUSAFullTimeashby2026-09-10
Warum echter KI-Job: The role is explicitly focused on applying and improving machine learning techniques (specifically LLMs) at scale. Responsibilities directly involve building ML pipelines, optimizing models, and working with large datasets – all core AI activities.
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transfor…
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Redwood City, CAUSAFullTimeashby2026-09-10
Warum echter KI-Job: The role is explicitly focused on building and maintaining infrastructure for ML research and serving, with a strong emphasis on large language models and GPU utilization. The requirements and responsibilities directly relate to core AI/ML engineering tasks.
ABOUT THE ROLE We’re looking for seasoned ML Infrastructure engineers with experience designing, building and maintaining training and serving infrastructure for ML research. Responsibilities: - Provide infrastructure support to our ML research and product - Build tooling to diagnose cluster issues…
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San FranciscoUSAgreenhouse2026-09-10
Warum echter KI-Job: The role is explicitly focused on building and optimizing AI inference systems for large language models. The responsibilities and requirements heavily emphasize ML engineering, performance optimization, and working with cutting-edge AI technologies.
About the Role Together AI is seeking a Machine Learning Engineer to join our Inference Engine team, focusing on optimizing and enhancing the performance of our AI inference systems. This role involves working with state-of-the-art large language models models and ensuring they run efficiently and…
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LondonCanadaFullTimeashby2026-09-10
Warum echter KI-Job: The role explicitly focuses on applying ML models (LLMs) to solve customer problems, designing and implementing solutions, and leading ML teams. The description heavily emphasizes technical skills in ML frameworks and large-scale training/inference.
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe th…
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