Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Staff level Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.

Design and implement data processing infrastructure for large language model training (highly performant, reproducible, traceable)

Develop and maintain core processing primitives (e.g., tokenization, deduplication, chunking) with a focus on scalability

Build robust systems for data quality assurance and validation at scale

Collaborate with research teams to implement novel data processing architectures

Build and operate end-to-end data pipelines that turn raw web-scale corpora into training-ready datasets

You may be a good fit if you have:

5+ YOE outside of internships

Strong software engineering skills with experience building high-throughput fault-tolerant distributed systems

Hands-on experience with distributed computing frameworks, particularly Apache Spark

Excellent problem-solving skills and attention to detail

Strong communication skills and ability to work in a collaborative environment

Data Infrastructure Engineer, Pre-training

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Anthropic

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