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17 Days Ago
Dublin, IRL
57 Employees
Senior level
57 Employees
Senior level
Artificial Intelligence • Natural Language Processing • Generative AI
In this role, you will lead compliance efforts by engaging with security assessors, understanding security regulations, and supporting customers regarding Anthropic's security program. You will also contribute to policy updates and maintain a system of controls through audits and record-keeping, with a focus on AI safety requirements.
22 Days Ago
3 Locations
Remote
57 Employees
300K-375K Annually
Senior level
57 Employees
300K-375K Annually
Senior level
Artificial Intelligence • Natural Language Processing • Generative AI
The Commercial Counsel will design, negotiate, and manage government contracts while ensuring compliance with federal regulations. This role involves advising cross-functional teams on strategies for selling to the government and enhancing internal processes. The successful candidate will bring significant legal experience, particularly in government contracting and technology transactions.
23 Days Ago
2 Locations
Remote
57 Employees
240K-300K Annually
Senior level
57 Employees
240K-300K Annually
Senior level
Artificial Intelligence • Natural Language Processing • Generative AI
Experienced Product Marketing Manager with a background in partner go-to-market strategies needed to lead product marketing for partner launches and initiatives at Anthropic. Must excel at crafting narratives, collaborating with partner marketing teams, and analyzing customer data to drive revenue impact.
24 Days Ago
2 Locations
Remote
57 Employees
300K-405K Annually
Senior level
57 Employees
300K-405K Annually
Senior level
Artificial Intelligence • Natural Language Processing • Generative AI
The role involves developing core components of APIs to access large language models, integrating tools for billing and email, optimizing performance, and collaborating with researchers to enhance user interfaces. Strong coding skills and 5+ years of API and frontend development experience are required, with a focus on building scalable and robust solutions.
24 Days Ago
2 Locations
Remote
57 Employees
300K-405K Annually
Senior level
57 Employees
300K-405K Annually
Senior level
Artificial Intelligence • Natural Language Processing • Generative AI
Develop innovative interfaces and APIs for Claude.AI, optimizing performance and user experience. Collaborate with researchers to enhance models based on user feedback. Implement tools to monitor performance and contribute to novel interaction paradigms. Emphasize a user-centric approach to product development.
24 Days Ago
3 Locations
Remote
57 Employees
280K-625K Annually
Entry level
57 Employees
280K-625K Annually
Entry level
Artificial Intelligence • Natural Language Processing • Generative AI
As a Research Scientist on the Interpretability team, you will develop methods for understanding large language models through the reverse engineering of algorithms within neural networks. This involves designing and conducting robust experiments to achieve mechanistic interpretability, aimed at improving the safety and performance of AI systems.
24 Days Ago
3 Locations
Remote
57 Employees
280K-625K Annually
Mid level
57 Employees
280K-625K Annually
Mid level
Artificial Intelligence • Natural Language Processing • Generative AI
As a Research Engineer in Alignment Science, you will conduct machine learning experiments to understand AI safety. You will collaborate with teams to explore experimental research, build tooling for evaluating AI systems, and contribute to research papers and projects that focus on ensuring safe AI development.
24 Days Ago
3 Locations
Remote
57 Employees
315K-625K Annually
Mid level
57 Employees
315K-625K Annually
Mid level
Artificial Intelligence • Natural Language Processing • Generative AI
As a Performance Engineer at Anthropic, you will identify and solve large-scale systems problems to optimize performance in machine learning applications. Responsibilities include implementing efficient algorithms, debugging network issues, and designing fault-tolerant distributed systems while working collaboratively in a results-oriented environment.
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