Research Engineer Discovery
AI safety and research company building reliable, interpretable, and steerable AI systems, including the Claude product family and developer platform.
Maintainer signals as of 9/24/2026
Funding history
About Anthropic
Anthropic PBC develops frontier AI systems and deploys them through Claude products and the Claude Platform, with a stated focus on safety, interpretability, and steerability.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design and implement large-scale infrastructure for training, evaluating, and deploying AI systems. You will resolve infrastructure bottlenecks, build secure execution architectures and data pipelines, optimize training and inference, and translate experimental requirements into reliable production systems.
Requirements
- 6+ years of relevant infrastructure engineering experience
- Expertise in large-scale distributed systems
- Knowledge of performance optimization for high-throughput machine learning workloads
- Experience with Docker and Kubernetes
- Experience building large-scale data pipelines and distributed storage systems
- Ability to diagnose complex production infrastructure challenges
Responsibilities
- Design and implement large-scale infrastructure systems
- Identify and resolve infrastructure bottlenecks
- Develop evaluation frameworks
- Build scalable VM, sandboxing, and container architectures
- Translate experimental requirements into production-ready infrastructure
- Develop large-scale data pipelines
- Optimize training and inference pipelines for reinforcement learning
Benefits
- Optional equity donation matching
- Generous vacation
- Parental leave
- Flexible working hours
