Anthropic · New York City, NY, San Francisco, CA
90/100
New York City, NY, San Francisco, CAUSAgreenhouse2026-10-31
Why this is a real AI job: The role is explicitly focused on applying and advising on LLMs (Claude) within the life sciences and biotech industries. Responsibilities include building applications, designing architectures, creating evaluation frameworks, and working directly with startu…
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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San Francisco, CAUSAgreenhouse2026-10-31
Why this is a real AI job: The role focuses on data science applied directly to a rapidly scaling AI platform, involving measurement, analysis, and modeling to drive commercial strategy. The company's core business is AI, and the position is deeply embedded within that context.
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…
Details Open source / apply
San Francisco, CAUSAgreenhouse2026-10-31
Why this is a real AI job: The role is explicitly focused on using data science to support policy work related to AI, analyzing product usage data, and understanding the impact of AI systems. The candidate will apply causal inference and data analysis techniques to inform policy positi…
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…
Details Open source / apply
San Francisco, CAUSAgreenhouse2026-10-31
Why this is a real AI job: The role explicitly focuses on building and shipping machine learning models for personalization and growth, designing experiments, and leveraging data science techniques. The description highlights the use of LLMs in the analytical workflow. This is a core d…
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…
Details Open source / apply
Munich, GermanyUSAgreenhouse2026-10-31
Why this is a real AI job: The role focuses on deploying and advising customers on the use of Claude (an LLM). While technical expertise with LLMs is required, the primary focus is on pre-sales, customer engagement, and solution architecture – not core AI research or model development.
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…
Details Open source / apply
Washington, DCUSAFullTimeashby2026-10-31
Why this is a real AI job: The role is explicitly focused on implementing and advising on GenAI solutions for government clients, requiring deep technical expertise in OpenAI's foundational technologies and models. The primary tasks revolve around building applications using the OpenAI…
About the Team The mission of the Applied AI Engineering team is to enable the secure and impactful implementation of GenAI solutions. We serve as technical thought partners and trusted advisors to our clients, ideating high-value use cases and providing the hands-on guidance necessary to drive pro…
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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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SingaporeUSAFullTimeashby2026-10-31
Why this is a real AI job: The role is explicitly focused on deploying and guiding customers on GenAI applications, requiring deep technical expertise in AI/LLM technologies. The core responsibilities revolve around building, prototyping, and scaling AI solutions.
About the Team The Applied AI Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and startups. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for the…
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