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Join Anthropic as a Research Scientist in the Interpretability team to work on reverse-engineering trained models and understanding neural networks with a focus on mechanistic interpretability. Responsibilities include developing methods for understanding LLMs, running experiments, building infrastructure, and collaborating with colleagues to communicate results.

The Responsible Scaling Team at Anthropic is looking for exceptional individuals with a passion for AI safety to operationalize the Responsible Scaling Policy and implement safety measures across the organization. The team focuses on threat modeling, AI safety evaluations, risk mitigation, and governance frameworks for responsible AI development.

As a Performance Engineer at Anthropic, you will be responsible for optimizing the throughput and robustness of large distributed systems running machine learning algorithms. Strong candidates will have experience in solving large-scale systems problems and a desire to become experts in machine learning. Responsibilities include implementing high-throughput sampling, building quantitative models of system performance, and debugging network latency spikes.

Conduct machine learning experiments to understand and steer the behavior of AI systems for safety. Collaborate with various teams on AI safety research projects and contribute to key initiatives at Anthropic. Ideal candidates have software, ML, or research engineering experience and care about the impacts of AI.

As a Research Engineer on the Reinforcement Learning Fundamentals team at Anthropic, you will collaborate with researchers and engineers to advance AI systems' capabilities and safety through fundamental research in reinforcement learning, focusing on large language models. Responsibilities include developing novel techniques, creating tools for model interactions, and enhancing reasoning abilities. Strong candidates are proficient in Python, have a software engineering background, and are passionate about AI's impact. Visa sponsorship available. Location-based hybrid policy with some office presence required. Applications open to diverse candidates.

Join Anthropic as a Research Engineer in the Pre-Training team, developing the next generation of large language models. Conduct research, implement solutions, optimize training infrastructure, and contribute to AI system development. Must have advanced degree in Computer Science or Machine Learning, strong software engineering skills, expertise in Python and deep learning frameworks. Preferred experience in high-performance ML systems and familiarity with GPUs, Kubernetes, and transformer architectures.

Experienced IT Support Engineer needed to resolve technical issues, automate processes, configure A/V and network hardware, implement security best practices, and support a growing startup. Responsibilities include IT incident resolution, network configuration, onboarding/offboarding, and security training. Location-based hybrid work policy with visa sponsorship available. Encouragement for diverse candidates to apply. Competitive salary and benefits package.