Здесь понятная зона ответственности senior-инженера в инфраструктуре передового ИИ, но охват платформы данных, качества и краулинга может сделать задачи довольно масштабными.
?Широкий охват
Современная инфраструктура
Передовой ИИ
Только офис
Выше рынка
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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