Active jobs: 21
Anthropic im AI Job Radar
This company page groups current AI roles at Anthropic, visible skill signals, locations and direct links to the original postings.
21Active jobs
93.1Avg. AI score
greenhouseSources
Top skills
Machine Learning, MLOps, Python, Data Science, Data Visualization, LLM, Evaluation Frameworks, Prompt Engineering
Locations
San Francisco, CA, London, UK, New York City, NY, San Francisco, CA, Bangalore, India, Boston, MA, New York City, NY, San Francisco, CA, Seattle, WA, Washington, D.C., New York City, NY, Remote-Friendly US (Travel Required), Sydney, Australia
AI domains
Generative AI, Applied AI, LLM deployment, AI for social impact, Reinforcement Learning, AI Infrastructure & Developer Tools
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…
Details Open source / apply
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…
Details Open source / apply
San Francisco, CAUSAgreenhouse2026-06-16
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…
Details Open source / apply
London, UKUSAgreenhouse2026-06-16
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…
Details Open source / apply
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…
Details Open source / apply
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…
Details Open source / apply
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…
Details Open source / apply
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…
Details Open source / apply
San Francisco, CAUSAgreenhouse2026-06-15
Why this is a real AI job: The role is explicitly focused on building and improving systems for training large language models using reinforcement learning. The job description details tasks directly related to ML algorithms, infrastructure, and model finetuning.
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, CAUSAgreenhouse2026-06-15
Why this is a real AI job: The role is explicitly focused on evaluating and improving large language models (Claude), building evaluation infrastructure, and monitoring model health. The core responsibilities directly involve AI/ML 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…
Details Open source / apply