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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.
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.
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.
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.
In this role, you will manage compute capacity planning and allocation, coordinate workload migrations, and ensure smooth transitions between compute environments, collaborating closely with engineering and research teams to optimize resource utilization and operationalize strategic compute plans.
The Brand Communications Manager at Anthropic will shape creative campaigns for AI products, work closely with tech and product teams, manage online presence, and develop systems for monitoring user sentiment. This role requires deep technical understanding and excellent narrative skills to connect with both technical and non-technical audiences.
The Web Engineer will enhance Anthropic's digital presence by developing and refining their website, Anthropic.com, and associated digital experiences. The role involves collaborating across teams to implement web and mobile applications, ensuring design quality, usability, and performance metrics are met.
This role involves designing and implementing high-performance data processing infrastructure for large language model training, creating robust systems for data quality assurance, and collaborating with research teams on data processing architectures.
As a Compensation Partner at Anthropic, you will lead the design and execution of compensation programs including salary and equity strategies to attract talent. You'll also conduct market analysis, manage compensation systems in Workday, and educate teams on compensation policies.
The role involves driving the data science and analytics initiatives by partnering with go-to-market leaders to define KPIs, analyze customer behavior, and build a data-driven culture in a rapidly growing AI organization.
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