Remote - Washington D.C.USAgreenhouse2026-10-29
Why this is a real AI job: The role explicitly focuses on building and productionizing GenAI applications, leveraging the latest AI research, and serving as a technical advisor in the AI space. The job description heavily emphasizes hands-on experience with AI/ML tools and techniques.
PLEASE NOTE : Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and in…
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Belgrade, SerbiaUSAgreenhouse2026-10-29
Why this is a real AI job: The role explicitly focuses on building and deploying machine learning solutions, working with AI agents, and developing ML infrastructure. The description highlights core AI/ML tasks as the primary responsibilities.
P-1439 As Applied ML/AI Engineer at Databricks, you will define and create the Agentic Machine Learning revolution. You will help world’s largest companies build and deploy massive classical machine learning solutions (such as personalized recommendations, fraud detection, dynamic pricing, forecast…
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London, United KingdomUSAgreenhouse2026-10-29
Why this is a real AI job: The role is explicitly focused on Generative AI and LLMs, requiring deep technical expertise in the field. The job description details tasks such as building proofs of concept, fine-tuning models, and leading technical engagements with customers around GenAI…
REQ ID: FEQ227R147 Location: United Kingdom (Remote/Hybrid — London or UK-based) Recruiter: Dina Hussain About the Role We are looking for a Lead Solution Architect focused on Generative AI to support our EMEA Emerging Digital Natives and Startups business unit — one of the fastest-moving, most tec…
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London, UKUSAgreenhouse2026-10-29
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, CAUSAgreenhouse2026-10-29
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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San Francisco, CAUSAgreenhouse2026-10-29
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, UKUSAgreenhouse2026-10-29
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, CAUSAgreenhouse2026-10-29
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)USAgreenhouse2026-10-29
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, CAUSAgreenhouse2026-10-29
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…
Details Open source / apply