Pre training Data Infrastructure Engineer
AI safety and research company building reliable, interpretable, and steerable AI systems, including the Claude product family and developer platform.
Maintainer signals as of 9/23/2026
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 operate high-performance, reproducible data-processing infrastructure for language-model training. You will develop processing primitives, build data-quality systems, collaborate on new architectures, and operate pipelines that transform web-scale corpora into training-ready datasets.
Requirements
- 5+ years of experience outside internships
- Software engineering experience
- High-throughput fault-tolerant distributed-systems experience
- Apache Spark experience
- Language-model training infrastructure experience
- Data infrastructure, MLOps, or ML infrastructure background
Responsibilities
- Design and implement data-processing infrastructure for language-model training
- Develop and maintain tokenization, deduplication, and chunking primitives
- Build data-quality assurance and validation systems
- Collaborate with research teams on data-processing architectures
- Build and operate pipelines from web-scale corpora to training-ready datasets
Benefits
- Optional equity donation matching
- Generous vacation
- Parental leave
- Flexible working hours