Staff Infrastructure Engineer, AI Scientist Team

Job Description

Anthropic is seeking a Staff Infrastructure Engineer to join their AI Scientist Team. This role is based in San Francisco, CA, and focuses on building an AI scientist capable of solving long-term reasoning challenges. The engineer will work end-to-end, addressing key infrastructure blockers to advance scientific AGI. Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society.Role involves:

• Designing and implementing large-scale infrastructure systems for AI scientist training, evaluation, and deployment.
• Identifying and resolving infrastructure bottlenecks.
• Developing robust evaluation frameworks for measuring progress towards scientific AGI.
• Building scalable VM/sandboxing/container architectures.
• Developing large-scale data pipelines for advanced language model training.
• Optimizing large-scale training and inference pipelines for reinforcement learning.

Requirements:

• 3+ years of experience in infrastructure engineering with expertise in large-scale distributed systems.
• Strong communication and collaboration skills.
• Deep knowledge of performance optimization techniques and system architectures for high-throughput ML workloads.
• Experience with containerization technologies (Docker, Kubernetes) and orchestration at scale.
• Proven track record of building large-scale data pipelines and distributed storage systems.
• Experience collaborating with researchers to scale experimental ideas.
• Bachelor's degree in a related field or equivalent experience.

Role offers:

• Competitive compensation and benefits.
• Optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours.
• Lovely office space in San Francisco.