Назад
4 дня назад

Senior Software Engineer, Pretraining Data (AI)

220 000 - 357 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Software Engineer, Pretraining Data (AI) (distributed data systems and web crawling): Building large-scale data platforms, crawling infrastructure, and pipelines that transform raw web, code, multimodal, and acquired data into training-ready datasets for frontier models with an accent on data quality, scalability, and reproducibility. Focus on designing high-throughput processing systems, improving crawl coverage and extraction reliability, and translating data experiments into measurable gains in model performance.

Location: Onsite in Palo Alto, California; must be able to work in person at the Palo Alto office.

Annual salary: $220,000–$357,000 USD. Actual level and base salary depend on job-related knowledge, skills, education, and experience.

Company

Cursor AI builds AI products and frontier-model infrastructure, including systems for large-scale model training.

What you will do

  • Design, build, and scale distributed infrastructure that transforms raw web, code, multimodal, and acquired data into training-ready datasets.
  • Own high-throughput pipelines, orchestration systems, and tooling with reliable, observable, reproducible processing and end-to-end data lineage.
  • Build models and algorithms to classify, rank, deduplicate, filter, and clean training data, and evaluate the impact of data mixtures and quality thresholds.
  • Build and optimize web crawling systems covering URL discovery, prioritization, scheduling, fetching, parsing, and content extraction.
  • Lead complex initiatives across data platform, data quality, crawling, acquisition, and model training teams; make architectural decisions and mentor engineers.

Requirements

  • 5+ years of professional software engineering experience building distributed systems and/or large-scale data infrastructure.
  • Ability to architect and ship end-to-end systems with high ownership and debug complex systems independently.
  • Strong understanding of large-scale distributed systems and reliable operation at frontier scale.
  • Experience leading technical projects across teams and mentoring engineers.
  • Ability to work alongside AI agents.

Nice to have

  • Strong infrastructure or data platform background with exceptional depth in a relevant area.
  • Experience progressing rapidly into staff-level ownership or relevant domain experience.
  • Interest in how pretraining data shapes model quality and in building systems that feed frontier training runs.

Culture & Benefits

  • Full-time onsite work with ownership and visibility over systems supporting frontier model training.
  • Equity and comprehensive medical, vision, and dental coverage.
  • Access to a 401(k) retirement plan, short- and long-term disability insurance, life insurance, discounts, and other perks.

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