Anthropic03.11.2025

Data Infrastructure Engineer, Pre-training

41 667–70 833 ₽в месяц · до вычета
РЫНОК
16 333медиана по профессии
Data Scientist · 215 вакансий с указанной зарплатой
5 000половина предложений: 13 167–21 846120 000
Выше рынка · выше 97% предложений
San Francisco

Обязанности

  • 01Design and implement data processing infrastructure for large language model training (highly performant, reproducible, traceable)
  • 02Develop and maintain core processing primitives (e.g., tokenization, deduplication, chunking) with a focus on scalability
  • 03Build robust systems for data quality assurance and validation at scale
  • 04Collaborate with research teams to implement novel data processing architectures
  • 05Build and operate end-to-end data pipelines that turn raw web-scale corpora into training-ready datasets

Требования

  • 015+ YOE outside of internships
  • 02Strong software engineering skills with experience building high-throughput fault-tolerant distributed systems
  • 03Hands-on experience with distributed computing frameworks, particularly Apache Spark
  • 04Excellent problem-solving skills and attention to detail
  • 05Strong communication skills and ability to work in a collaborative environment
  • 06Advanced degree in Computer Science or related field
  • 07Experience with language model training infrastructure
  • 08Background in Data Infrastructure, MLOps, or ML infrastructure

Условия

  • 01Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time
  • 02Visa sponsorship: We do sponsor visas
  • 03Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience