Reinforcement Learning Jobs – Page 2

Why this is a real AI 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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Why this is a real AI 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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Why this is a real AI 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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Why this is a real AI job: The role explicitly focuses on developing and deploying machine learning models (including LLMs, GenAI, computer vision) in production environments. The job description details tasks directly related to ML model building, training, tuning, and infrastructure…

The goal of a Senior 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…

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Why this is a real AI 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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Why this is a real AI job: The role is explicitly focused on GenAI and Machine Learning within the Databricks platform. The job description details deep technical expertise in LLMs, fine-tuning, reinforcement learning, and productionizing AI applications. A significant portion of the r…

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. Our customers leverage the Databricks Data Intelligence Platform to power their mission critical Data and AI applications to improve how their organisations leverage data and insights to make better d…

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Why this is a real AI job: The role is explicitly focused on GenAI and Machine Learning within the Databricks platform. The job description details requirements for designing, delivering, and advising customers on production-grade Generative AI solutions, including LLMs and reinforceme…

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. Our customers leverage the Databricks Data Intelligence Platform to power their mission critical Data and AI applications to improve how their organisations leverage data and insights to make better d…

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Why this is a real AI job: The role is explicitly focused on research and engineering of reinforcement learning for large language models, directly contributing to the core AI capabilities of Anthropic's products. The job description heavily emphasizes AI/ML/LLM concepts and techniques.

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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Why this is a real AI job: The role is explicitly focused on research and engineering of reinforcement learning for large language models, directly contributing to the core AI capabilities of Anthropic's products. The job description details tasks such as developing RL infrastructure,…

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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Why this is a real AI job: The role explicitly focuses on developing and refining machine learning models (specifically reinforcement learning) for pricing recommendations. This is a core AI function.

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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