Data pipelines Jobs – Page 4

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 explicitly focuses on designing, implementing, and scaling recommendation algorithms using machine learning techniques. The responsibilities and qualifications are heavily centered around AI/ML technologies.

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on c…

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Why this is a real AI job: The role is explicitly focused on building and maintaining datasets and evaluation workflows for AI safety, directly impacting the development and deployment of AI models. The description heavily emphasizes ML, data science, and AI-specific tasks.

ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like…

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Why this is a real AI job: The role explicitly focuses on building and optimizing recommendation systems powered by LLMs, requiring deep ML expertise. The job description heavily emphasizes ML fundamentals, model building, and data foundations for learning and improvement.

Perplexity is seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on Perplexity. Perplexity builds AI for those who expect more. Our products are designed to help people find answers, make their most consequential decisions, and com…

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Why this is a real AI job: The role is explicitly focused on building and deploying machine learning systems for a Generative AI platform. The job description details tasks directly related to core AI/ML concepts like RAG pipelines, knowledge representation, vector databases, and model…

Machine Learning Engineer London, UK About the role Applied Intelligence Systems (AIS) is part of the Scale Generative AI Platform (SGP), focused on pushing the frontier of what agentic applications can do across diverse enterprise and government use cases. We build the infrastructure and tooling t…

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Why this is a real AI job: The role is explicitly focused on evaluating and improving large language models (Claude), building evaluation infrastructure, and monitoring model health. The core responsibilities directly involve AI/ML 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 fundamentally focused on building infrastructure to support machine learning research specifically for detecting and mitigating misuse of AI models. It directly involves working with model internals, training detection methods, and deploying these…

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 building and improving OpenAI's core experimentation platform for AI products, requiring deep expertise in statistical rigor, causal inference, and ML experimentation. The tasks are overwhelmingly centered around AI/ML method…

About the Team The Statsig team at OpenAI https://openai.com?utm_source=chatgpt.com builds and operates the experimentation platform that powers product development, measurement, and decision-making across the company. We partner closely with product, engineering, and infrastructure teams to ensure…

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Why this is a real AI job: The role is explicitly focused on building and improving AI systems, model customization, post-training workflows, evaluation, data pipelines, and integration with cloud infrastructure. The job description heavily emphasizes ML engineering experience and work…

ABOUT THE TEAM OpenAI’s API Multicloud team is responsible for extending OpenAI’s API platform into strategic cloud environments, starting with AWS https://openai.com/index/openai-on-aws/. The team’s mission is to distribute OpenAI’s API broadly and safely by enabling key API technologies in AWS-na…

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Why this is a real AI job: The role is explicitly focused on building the data infrastructure to support large-scale AI/ML training and evaluation within a leading AI research company (OpenAI). The description heavily emphasizes AI-related tasks and technologies.

About the Team The OpenAI Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factor…

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