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Data Infrastructure Engineer, Pre-training
Anthropic is seeking a Staff-level Data Infrastructure Engineer to join its Pre-training team and help develop the next generation of large language models. This role sits at the intersection of advanced AI research and large-scale software
- Company
- Anthropic
- Location
- San Francisco, CA, United States
- Status
- Closed
- Posted
- 2026-09-16T03:34:12.188+00:00
Anthropic's Pre-training team is hiring a Staff-level data infrastructure engineer in San Francisco, working hybrid with at least 25% office time. The role turns web-scale raw corpora into training-ready datasets for large language models: scalable primitives such as tokenization, deduplication and chunking, data-quality validation, and end-to-end pipelines across distributed systems, built in close collaboration with researchers. The posting asks for five or more years of professional experience, strong software-engineering fundamentals, and a record of high-throughput, fault-tolerant systems; Spark, Python, Rust, MLOps and ML infrastructure experience are named as valuable.
Original job posting