Research Engineer, AI Scientist Infra & Systems

Anthropic Limited; New York (NY); Hybrid; USD 350,000 - 850,000; Full time

Benefits offered by this job

Equity donation matching

Generous vacation

Parental leave

Flexible hours

Job summary

Anthropic is seeking a Research Engineer to build and optimize infrastructure across the full model stack, enabling reliable training, evaluation, and deployment of AI systems. You will tackle infra bottlenecks, design scalable VM/sandboxing architectures, and develop data pipelines for advanced language model training and RL workflows.

Ideal candidates have 6+ years in infrastructure for large-scale ML, with Docker/Kubernetes expertise, strong collaboration skills, and a passion for pioneering

Qualifications

• 6+ years of highly-relevant infrastructure engineering experience with large-scale distributed systems.
• Strong communication and collaborative skills.
• Deep knowledge of performance optimization and high-throughput ML architectures.
• Experience with containerization and orchestration at scale (Docker, Kubernetes).
• Proven track record building large-scale data pipelines and distributed storage systems.

Responsibilities

• Design and implement large-scale infrastructure systems for AI training, evaluation, and deployment across distributed environments.
• Identify and resolve infrastructure bottlenecks hindering 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 workflows.
• Collaborate to translate experimental requirements into production-ready infrastructure.
• Develop large-scale data pipelines to support language model training requirements.
• Optimize large-scale training and inference pipelines for stable reinforcement learning.

Skills

Distributed systems

Containerization (Docker/Kubernetes)

Language model infra

Data pipelines

Communication

Fast-paced environments

Education

Bachelor's degree

Tools

Docker

Kubernetes

Job description

Anthropic is seeking a Research Engineer to build and optimize infrastructure across the full model stack, enabling reliable training, evaluation, and deployment of AI systems. You will tackle infra bottlenecks, design scalable VM/sandboxing architectures, and develop data pipelines for advanced language model training and RL workflows.

Ideal candidates have 6+ years in infrastructure for large-scale ML, with Docker/Kubernetes expertise, strong collaboration skills, and a passion for pioneering