Research Engineer: Scalable AI Infrastructures

ContentBuffer; San Francisco (CA); On-site; USD 350,000 - 850,000; Full time

Benefits offered by this job

Competitive compensation

Equity donation matching

Generous vacation and parental leave

Flexible working hours

Office in San Francisco

Job summary

Anthropic, based in San Francisco, is seeking a Research Engineer to own end-to-end infra across the model stack. You’ll tackle performance, scalability, and sandboxing challenges for AI training, evaluation, and deployment in distributed environments.

Strong candidates bring 6+ years in infrastructure engineering, expertise in Docker/Kubernetes, and a track record of building scalable data pipelines and ML workflows.

Qualifications

• 6+ years of infrastructure engineering experience with large-scale distributed systems
• Strong communicator with collaborative mindset
• Deep knowledge of performance optimization for high-throughput ML workloads
• Experience with containerization technologies (Docker, Kubernetes) and scale
• Proven track record building large-scale data pipelines and distributed storage systems
• Ability to translate experiments into production-ready infrastructure
• Experience with cloud platforms at enterprise scale

Responsibilities

• Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments
• Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities
• Develop robust evaluation frameworks for measuring progress toward scientific AGI
• Build scalable VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows
• Collaborate to translate experimental requirements into production-ready infrastructure
• Develop large scale data pipelines to handle advanced language model training requirements
• Optimize large scale training and inference pipelines for stable and efficient reinforcement learning

Skills

Infrastructure engineering

Large-scale distributed systems

Performance optimization

Communication

ML workflows

Orchestration at scale

Education

Bachelor's degree

Field relevant to the role

Tools

Docker

Kubernetes

Beam

Spark

Dask

AWS

GCP

VMs

Job description

Anthropic, based in San Francisco, is seeking a Research Engineer to own end-to-end infra across the model stack. You’ll tackle performance, scalability, and sandboxing challenges for AI training, evaluation, and deployment in distributed environments.

Strong candidates bring 6+ years in infrastructure engineering, expertise in Docker/Kubernetes, and a track record of building scalable data pipelines and ML workflows.