Anthropic
Pre-training Data Infrastructure Engineer
$500K–$850K
San Francisco, CA +1 · Full-time · Posted Nov 3, 2025
- Location
- San Francisco, CA
San Francisco, California, United States - Experience
- 5+ years outside internships; logistics also says years required correlate with internal job level requirements.
- Education
- Advanced degree in Computer Science or related field; minimum education is a bachelor’s degree or an equivalent combination of education, training, and/or experience.
- Visa sponsorship
- Visa sponsorship is available, but not for every role or candidate; the company says it will make every reasonable effort to obtain a visa after an offer.
About the job
Build scalable, reliable data infrastructure and pipelines that transform web-scale corpora into training-ready datasets for large language models.
What you'll do
- Design and implement performant, reproducible, traceable data-processing infrastructure and scalable processing primitives.
- Build data-quality validation systems and end-to-end pipelines for training datasets.
- Collaborate with research teams to implement novel data-processing architectures.
What they ask for
- 5+ years of experience outside internships.
- Strong software engineering skills and experience building high-throughput, fault-tolerant distributed systems.
- Hands-on experience with distributed computing frameworks, particularly Apache Spark.
- Advanced degree in Computer Science or a related field.
Nice to have
- Expertise with Python and Rust.
- Experience with language model training infrastructure or a background in Data Infrastructure, MLOps, or ML infrastructure.
Pay
$500,000 — $850,000 USD (base salary)
Tools
Apache Spark, Python, Rust
AI focus
Develop infrastructure and training data for large language models, contributing to safe, steerable, and trustworthy AI systems.
Model-written summary · the original posting is authoritative