MLOps Jobs – Page 21

Why this is a real AI job: The role is focused on building and scaling a Generative AI platform, directly interacting with LLMs and ML models. The job description explicitly mentions working with AI technologies as a core responsibility.

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal can…

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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 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 building, governing, and evaluating AI systems in production. The description details responsibilities directly related to core AI/ML engineering tasks like model evaluation, MLOps practices, agent architectures, and addressing…

About the role Scale's Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. As a Staff Applied AI Engineer, you'll raise the bar for how AI gets built, governed, and evaluated across the team. You'll define standards that other e…

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Why this is a real AI job: The role is explicitly focused on research and engineering of machine learning models, agentic AI systems, and productionizing AI solutions. The job description heavily emphasizes AI/ML technical direction, model training, evaluation, and building AI agents.

About Scale Scale’s mission is to develop reliable AI systems for the world’s most important decisions. As the leading AI data foundry, we provide the high-quality data and full-stack technologies that power the world’s most advanced models — fueling breakthroughs in generative AI, defense, and aut…

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Why this is a real AI 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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Why this is a real AI job: The role explicitly focuses on AI/ML projects, research, and building/evaluating models. The description details work on frontier AI systems, model evaluation, and co-authoring research papers. The required skills are heavily AI/ML focused.

About the Collective The Human Frontier Collective (HFC) ’s mission is to bring the world's best minds to shape the future of AI – because the future of AI depends not only on powerful models, but on the people who teach them to think. We bring together researchers, academics, and domain leaders ac…

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Why this is a real AI job: The role is fundamentally focused on building and scaling AI data products, benchmarks, and evaluation methodologies. The description explicitly centers around AI/ML model training, measurement, and governance. The 'Coding' role specifically requires deep und…

Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world's most important decisions. Scale's evalu…

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Why this is a real AI job: The role explicitly focuses on designing, building, and deploying AI/ML systems (agentic AI, computer vision, reinforcement learning, LLMs) for critical government applications. The job description heavily emphasizes AI-specific tasks and responsibilities.

The goal of a Senior Machine Learning Engineer at Scale is to own how we apply generative AI, agentic AI, computer vision, and reinforcement learning to mission-critical problems in production. Our senior machine learning engineers are handed problems that don't yet have an established approach, th…

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Why this is a real AI job: The role explicitly focuses on designing, implementing, and deploying agentic AI systems for government applications. The job description heavily emphasizes ML, LLMs, and related technologies as the core responsibilities.

The goal of a Staff Machine Learning Engineer at Scale is to lead the design and deployment of agentic AI systems that operate in real-world, mission-critical government environments. On the Public Sector team, you’ll work at the intersection of agentic ML, systems engineering, and applied research…

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