Mountain View, CaliforniaUSAgreenhouse2026-06-16
Why this is a real AI job: The role is explicitly focused on developing and deploying GenAI products, enhancing LLM quality, and building AI-driven features. The responsibilities and requirements heavily emphasize ML engineering, LLM technologies, and data science.
P-1504 The Applied AI team at Databricks sits at the forefront of advancing GenAI-powered products. Over the past years, we’ve launched Databricks Assistant , AI/BI Genie , and Agent Bricks working with product teams, and made significant strides in LLM quality for these products. These products ar…
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London, UKUSAgreenhouse2026-06-16
Why this is a real AI job: The role is explicitly focused on research and engineering of reinforcement learning for large language models, directly contributing to the core AI capabilities of Anthropic's products. The job description heavily emphasizes AI/ML/LLM 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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Anthropic · New York City, NY, San Francisco, CA
95/100
New York City, NY, San Francisco, CAUSAgreenhouse2026-06-16
Why this is a real AI job: The role is explicitly focused on research and engineering of reinforcement learning for large language models, directly contributing to the core AI capabilities of Anthropic's products. The job description details tasks such as developing RL infrastructure,…
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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New York City, NYUSAgreenhouse2026-06-16
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, CAUSAgreenhouse2026-06-16
Why this is a real AI job: The role is explicitly focused on developing and optimizing core components of LLM training pipelines (tokenization, encodings). The responsibilities directly involve ML systems, data processing, and model performance. The company's mission is centered around…
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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Sydney, AustraliaUSAgreenhouse2026-06-16
Why this is a real AI job: The role is explicitly focused on deploying and advising customers on the use of LLMs, requiring deep technical expertise in LLM implementation, prompt engineering, and evaluation. The responsibilities center around AI products and workflows.
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)USAgreenhouse2026-06-16
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 FranciscoUSAFullTimeashby2026-06-16
Why this is a real AI job: The role is explicitly focused on AI fairness, bias testing, and evaluation of AI-assisted systems. The job description details extensive work with ML models, data analysis, and building evaluation infrastructure. This is a core AI research and application ro…
ABOUT THE TEAM OpenAI’s People team hires, engages, and retains world-class talent to safely build and deploy AGI that benefits all of humanity. The People Analytics team helps leaders make rigorous, evidence-based talent decisions and ensures that the systems supporting those decisions are valid,…
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SeattleUSAFullTimeashby2026-06-16
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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London, UKUSAFullTimeashby2026-06-16
Why this is a real AI job: The role is explicitly focused on building analytical foundations for responsible AI deployment, evaluating and improving safety systems, and quantifying safety risks. The tasks directly involve applying data science and ML techniques to address core AI safet…
About the Team OpenAI’s Safety teams work to ensure our products are safe, trusted, and resilient as frontier AI systems scale globally. We tackle some of the company’s most important challenges across understanding and preventing misuse and misalignment, intercepting fraud and abuse, and protectin…
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