Reinforcement Learning Jobs – Seite 2

Warum echter KI-Job: The role explicitly focuses on building and improving ML/LLM-powered systems for an AI assistant and autonomous agents. The tasks are centered around core AI concepts like evaluation, personalization, retrieval, and orchestration.

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With…

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Warum echter KI-Job: The role explicitly focuses on building and improving AI products (Enterprise Brain) using LLMs, ML techniques, and agent orchestration. The tasks are heavily centered around core AI/ML engineering principles.

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With…

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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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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 explicitly focuses on building and improving core AI components like LLM post-training, reinforcement learning for agents, search and retrieval systems, and multi-agent systems. The responsibilities are heavily weighted towards AI/ML engineering and…

Perplexity is seeking an experienced Machine Learning Engineer to advance how AI systems search, reason, and work together to solve complex problems. Our work spans search and retrieval, LLM post-training, multi-agent training, and the harnesses that make these systems effective. We control the ful…

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Warum echter KI-Job: The role explicitly focuses on research and development of post-training techniques for LLMs, including SFT, RLHF, and reward modeling. The job description highlights the application of these techniques to enhance LLM capabilities and solve core AI problems.

Scale works with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation an…

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Warum echter KI-Job: The role explicitly focuses on designing, building, and deploying AI agents using LLMs and related technologies. The job description heavily emphasizes AI/ML concepts and their application to real-world enterprise problems.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI ca…

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Warum echter KI-Job: The role is explicitly focused on building and scaling infrastructure for Generative AI models, RLHF, and data operations critical to LLMs. The description heavily emphasizes work with AI technologies.

Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how human…

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Warum echter KI-Job: The role explicitly focuses on building, deploying, and maintaining ML models in production, with a strong emphasis on cutting-edge AI techniques like GenAI, LLMs, and computer vision. The job description details tasks directly related to AI/ML development an…

The goal of a Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust…

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Warum echter KI-Job: The role is explicitly focused on machine learning research, with projects directly related to developing and improving AI models. The description emphasizes cutting-edge research in areas like generative AI, reinforcement learning, and model evaluation.

At Scale , our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliv…

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