San Francisco, CAUSAgreenhouse2026-10-30
Why this is a real AI job: The role is explicitly focused on building and improving RL training infrastructure, directly supporting AI research and model development. The responsibilities center around ML systems and algorithms.
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, UKUSAgreenhouse2026-10-30
Why this is a real AI job: The role is explicitly focused on building and improving RL training infrastructure, directly supporting and accelerating AI research. The responsibilities center around ML models and systems.
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, CAUSAgreenhouse2026-10-30
Why this is a real AI job: The role is explicitly focused on evaluating and improving the quality, alignment, and safety of production LLMs. Responsibilities directly involve ML model evaluation, data analysis, and building evaluation methodologies. The entire job revolves around AI/ML.
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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Anthropic · Remote-Friendly US (Travel Required)
95/100
Remote-Friendly US (Travel Required)USAgreenhouse2026-10-30
Why this is a real AI job: The role is explicitly focused on building and scaling a data-driven culture to ensure safe and beneficial AI. The responsibilities center around analyzing user behavior related to safety, defining key metrics for success, and building systems to improve prod…
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, CAUSAgreenhouse2026-10-30
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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San Francisco, CAUSAgreenhouse2026-10-30
Why this is a real AI job: The role explicitly focuses on building LLM-powered tools and applications within the life sciences domain, working directly with research partners to integrate AI into their workflows. Responsibilities center around AI infrastructure, agent development, and…
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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Anthropic · New York City, NY, San Francisco, CA
95/100
New York City, NY, San Francisco, CAUSAgreenhouse2026-10-30
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, UKUSAgreenhouse2026-10-30
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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San FranciscoUSAFullTimeashby2026-10-30
Why this is a real AI job: The role is explicitly focused on building, deploying, and operating machine learning systems for model evaluation and improvement. The description details core ML tasks throughout the entire lifecycle, from experimentation to production. The company (OpenAI)…
ABOUT THE TEAM Our team builds classification and evaluation systems that give post-training and research teams fast, reliable feedback on model behavior. We combine machine learning and production engineering to make these capabilities accurate, efficient, and useful at scale, helping researchers…
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San FranciscoUSAFullTimeashby2026-10-30
Why this is a real AI job: The role is explicitly focused on building and scaling forecasting systems using machine learning models. The job description details tasks such as model development, deployment, monitoring, and research into advanced forecasting techniques (TimeGPT, LLM exte…
About the Team The Strategic Finance team at OpenAI plays a critical role in shaping the company’s long-term trajectory. We partner closely with Product, Engineering, and Go-To-Market teams to inform high-stakes decisions through rigorous data science and economic modeling. As part of our expanding…
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