Search the 100 jobs at Anthropic

The Insider Risk Forensic Investigator Lead at Anthropic will be responsible for identifying, investigating, and mitigating insider risks through data analysis and collaboration with cross-functional teams. The role requires a Bachelor's degree, Certified Fraud Examiner credential, and 3+ years of experience in insider risk analysis, investigations, or cybersecurity. Strong communication and collaboration skills are essential, along with the ability to lead projects independently.

Drive adoption of frontier AI by developing bespoke solutions within the US Government space. Architect innovative solutions for customers' business needs with a focus on reliability and safety. Collaborate with Sales, Product, and Engineering teams to integrate AI systems into products. Identify opportunities to innovate and differentiate AI systems while ensuring high safety standards.

Join Anthropic's Interpretability team to reverse engineer how trained models work, focusing on mechanistic interpretability to improve the safety of AI systems. Responsibilities include implementing research experiments, optimizing workflows, building tools, and collaborating with other teams. Ideal candidates have 3-10+ years of software building experience, proficiency in programming languages, and a strong ability to prioritize impactful work. Desired skills include code base design, optimizing distributed systems, collaborating with researchers, and experience with transformers and GPUs.

This role involves implementing and analyzing research experiments, setting up efficient workflows, building tools to support research experimentation, and developing infrastructure to improve model safety. Strong candidates will have 3-10+ years of software development experience, proficiency in programming languages like Python, Rust, Go, Java, and a strong interest in machine learning research and ethical implications.

Seeking a Product Counsel to support the trust and safety team in preventing harmful misuse of AI systems by developing policies, advising on safeguards, and addressing legal issues at the intersection of AI, user safety, content policy, and online harms.

Experienced Corporate Counsel needed to support fundraising, manage global entity formation, assist with corporate governance, and advise on M&A opportunities. Ideal candidate has 6-8 years of experience at a major law firm or high-growth tech company, strong communication skills, and a strategic mindset.

Join Anthropic as a Staff Software Engineer in Infrastructure to work on groundbreaking AI technologies and contribute to the development of frontier models. Collaborate with cross-functional teams in areas such as Data Infrastructure, Research Infrastructure, Site Reliability Engineering, Systems, and Observability to ensure the reliability and scalability of AI systems and services.

Anthropic is seeking talented and experienced Infrastructure Engineers to join their team to support the development, scaling, and maintenance of cutting-edge AI systems. Responsibilities include working on groundbreaking AI technologies, building and optimizing data pipelines, implementing data governance best practices, designing and maintaining observability infrastructure, and collaborating with cross-functional teams to ensure reliability and efficiency of AI systems.

Drive the adoption of frontier AI, architect innovative solutions for top enterprises, and collaborate with Sales, Product, and Engineering teams to incorporate leading-edge AI systems into products.

Seeking creative and versatile UI Engineers to design and implement innovative user experiences for cutting-edge AI technology. Collaborate with researchers, designers, and product managers to prototype and validate experimental applications. Advocate for usability, accessibility, and design excellence. Provide UI development mentorship and grow team capabilities.

Join Anthropic as a software engineer in the product team to build interfaces and APIs for large language models, optimize performance, and work on AI safety and conversational AI. Responsibilities include core API development, integrations, interface optimization, and monitoring model behavior. Strong candidates are familiar with NLP, ML models, REST APIs, react, containerization, DevOps, QA, testing automation, privacy, and security best practices.

As a Software Engineer at Anthropic, you will be responsible for building large scale ML systems, improving infrastructure, running scientific experiments, and enhancing dev tooling. The role requires a strong understanding of machine learning research and a focus on creating safe and trustworthy AI systems.

Anthropic is seeking Infrastructure Engineers to work on cutting-edge AI technologies, supporting the development of safe and reliable AI systems. Openings in Data Infrastructure, Research Infrastructure, SRE, Systems, and Observability teams.

The Software Engineer, Inference role at Anthropic involves working on the service that generates outputs from AI models in production. Responsibilities include improving efficiency, latency, and reliability by solving complex distributed systems problems. Strong candidates may have experience with high performance, large-scale distributed systems, Kubernetes, Python, and machine learning.

Looking for an experienced Software Engineer to lead the development of a Human Feedback Interface system, collaborating with researchers to refine AI models and accelerate data collection through UI infrastructure and tools.

Seeking an experienced Software Engineer to build infrastructure technology for Finetuning Services at Anthropic. Responsibilities include developing finetuning tools, collaborating with teams, delivering high-quality code, participating in the on-call rotation, and contributing to the hiring process.

Join Anthropic's Claude.AI product team as a software engineer to build innovative interfaces and APIs for advanced language models. Collaborate with a talented team to push the boundaries of AI-powered productivity tools and human-machine interaction paradigms.

As a Software Engineer at Anthropic, you will be responsible for building large scale ML systems, ensuring safety and trustworthiness in AI systems, and contributing to code, infrastructure, and scientific experiments.

The Safety Cases Manager will play a critical role in developing new safety standards by translating AI safety research into practical mitigations. Responsibilities include leading AI safety mitigation workstreams, partnering with security and trust & safety leads, and driving continuous improvement based on research insights.

Responsible for developing and testing governance mechanisms for the Responsible Scaling Policy (RSP) and identifying, assessing, and mitigating risks related to AI systems. Collaborate with cross-functional teams to maintain RSP commitments and continuously improve risk management processes. Brief executive team and board on RSP risk profiles and mitigation efforts. Conduct red team exercises and support investigations to enhance RSP framework.