Large Language Models Jobs

Why this is a real AI 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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Why this is a real AI job: The role explicitly focuses on building and improving recommendation systems using machine learning and large language models at a production scale. The job description highlights core AI/ML tasks and responsibilities.

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep…

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Why this is a real AI job: The role is explicitly focused on building and operating an internal AI platform and agentic applications. The job description heavily emphasizes AI/ML technologies (LLMs, prompt engineering, evaluation pipelines) as core responsibilities.

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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Why this is a real AI job: The role explicitly focuses on designing, building, and deploying AI-powered systems (multi-agent framework, LLM-powered actions) for customer support. The required skills heavily emphasize ML, LLMs, and related technologies. The job description clearly indic…

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you…

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Why this is a real AI 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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Why this is a real AI job: The role explicitly focuses on research, development, and implementation of NLP solutions, specifically large language models and deep learning. The description highlights core AI tasks and technologies.

About the Institute of Foundation Models We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As…

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Why this is a real AI job: The role is explicitly focused on building and deploying production-grade AI systems (agentic applications) for a large organization. The job description heavily emphasizes AI/ML technologies, LLMs, and the development of an internal AI platform.

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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Why this is a real AI 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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Why this is a real AI 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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Why this is a real AI 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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