Anthropic · New York City, NY, San Francisco, CA
95/100
New York City, NY, San Francisco, CAUSAgreenhouse2026-10-31
Why this is a real AI job: The role is explicitly focused on deploying and advising customers on the use of LLMs (Claude API). Responsibilities center around LLM implementation, evaluation, and architecture. The required skills heavily emphasize LLM-specific expertise.
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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London, UKUSAgreenhouse2026-10-31
Why this is a real AI job: The role explicitly focuses on building and scaling applications on top of a large language model (Claude). Responsibilities include deep technical engagements with customers, developing prototypes, and creating technical resources specifically for AI enginee…
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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SeattleUSAFullTimeashby2026-10-31
Why this is a real AI job: The role is fundamentally focused on building and deploying ML-powered systems for experimentation, insights generation, and predictive modeling. It requires deep expertise in ML lifecycle, LLMs, causal inference, and data science. The entire job description…
ABOUT THE TEAM The Statsig team within OpenAI builds the experimentation, feature rollout, dynamic configuration, and analytics systems that help OpenAI ship products with speed, safety, and evidence. Our work sits on the critical path for how product, engineering, research, and go-to-market teams…
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London, UKUSAFullTimeashby2026-10-31
Why this is a real AI job: The role is explicitly focused on applying and deploying AI (specifically Codex) to transform software development workflows. The job description heavily emphasizes building AI-powered systems, evaluating model behavior, and integrating AI into production env…
ABOUT THE TEAM OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. For software engineering organizations, this means helping customers adopt Codex and other OpenAI capabilities across the software developme…
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London, UKUSAFullTimeashby2026-10-31
Why this is a real AI job: The role explicitly focuses on delivering and implementing GenAI solutions for public sector clients. It requires hands-on work with model APIs, architecture design, and driving AI roadmaps. The core responsibility is AI-focused.
About the Team The mission of the Applied AI Engineering team is to enable the secure and impactful implementation of Agentic solutions. In this international Government role, you will deliver clearly scoped AI use cases with public-sector customers, from a mission need through hands-on implementat…
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San FranciscoUSAFullTimeashby2026-10-31
Why this is a real AI job: The role explicitly focuses on building and deploying machine learning models for budget allocation, spend pacing, and marketing optimization. The core responsibilities are deeply rooted in AI/ML techniques.
ABOUT THE TEAM The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments and other OpenAI products worldwide. We work across the full funnel—from awareness and acquisition through activation, retention, and expansion—using experimentation, data science, machine…
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Munich, GermanyUSAFullTimeashby2026-10-31
Why this is a real AI job: The role explicitly focuses on designing, building, and deploying AI systems for enterprise customers. The description emphasizes hands-on engineering with AI models, agents, and data, and requires deep technical expertise in AI/ML concepts. The core responsi…
About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportuniti…
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Paris, FranceUSAFullTimeashby2026-10-31
Why this is a real AI job: The role explicitly focuses on designing, building, and deploying AI systems for enterprise customers. The description emphasizes hands-on engineering with AI models, agents, and data, and requires deep technical expertise in AI/ML concepts. The core responsi…
About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportuniti…
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San FranciscoUSAFullTimeashby2026-10-31
Why this is a real AI job: The role is explicitly focused on building and deploying machine learning models to improve product experiences and business outcomes. The description details tasks such as data preparation, model building, experimentation, and production deployment, all core…
About the Team We work across product, growth, and monetization to help people get more value from OpenAI’s products. We identify opportunities for machine learning, build and test early solutions, and partner with engineering and product to bring successful approaches into production. About the Ro…
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US - RemoteUSAFullTimeashby2026-10-31
Why this is a real AI job: The role is explicitly focused on applying data science and AI to solve cybersecurity challenges, specifically related to AI agents. The job description heavily emphasizes building metrics, evaluating models, and improving security controls using data-driven…
ABOUT THE TEAM OpenAI’s Agentic Data Science team helps shape how AI agents are built, deployed, and improved across our products. We partner with product, engineering, research, and security teams to define meaningful measures of success, understand how our systems behave in the real world, and tr…
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