Anthropic is seeking an experienced Corporate Development leader to drive our strategic transactions in life sciences and biotech.
As the leader of Partner Services Delivery and Success within Partnerships at Anthropic, you will lead the global field delivery, partner success and partner health teams that make Claude deployments succeed at our customers when our partners build and run them.
That includes datacenter operations, capacity planning across cloud providers and our own facilities, accelerator cluster management, production serving infrastructure, developer tooling, data pipelines, and networking.
This role involves managing a team dedicated to accelerating machine learning systems. You'll work on cutting-edge AI projects in a mission-driven environment focused on safety and societal benefit.
Anthropic · 2y ago
Design and implement machine learning models for agent capabilities, ensuring interpretability and safety. Collaborate on scalable AI solutions with a focus on real-world applications.
When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?". We’re looking for researchers and engineers to join our efforts. People mean many different things by "interpretability".
This Research Engineer role on the ML Performance and Scaling team at Anthropic focuses on ensuring reliable, efficient, and large-scale training of frontier AI models, requiring deep technical expertise and a passion for large-scale ML systems.
When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?". We’re looking for researchers and engineers to join our efforts. People mean many different things by "interpretability".
Join Anthropic's mission to create safe and beneficial AI systems. This role focuses on performance engineering to ensure AI reliability and interpretability.
Design and implement high-performance TPU kernels to enhance AI model efficiency. Responsibilities include kernel optimization, debugging, and collaborating on system architecture.
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