22 hours ago
Base Salary
$220k - $357k/yr
Responsibilities
- Design, build, and scale distributed data infrastructure that converts raw web, code, multimodal, and acquired data into training-ready datasets.
- Own high-throughput data pipelines, orchestration systems, tooling, data lineage, freshness, observability, reproducibility, and pipeline health.
- Build and deploy high-performance models and algorithms to classify, rank, deduplicate, filter, and clean training data.
- Run experiments involving data mixtures, sampling strategies, and quality thresholds, translating findings into production systems.
- Build and optimize large-scale web crawling infrastructure for URL discovery, prioritization, host scheduling, fetching, parsing, and content extraction.
- Improve crawl coverage, efficiency, reliability, anti-bot resilience, extraction quality, and automated recovery.
- Lead complex initiatives across data platform, data quality, crawling, acquisition, and model-training teams.
- Drive architecture and technical direction, mentor engineers, and connect data-system improvements to model performance.
Requirements
- At least 5 years of professional software engineering experience building distributed systems and/or large-scale data infrastructure.
- Strong infrastructure or data platform background, ideally with exceptional depth in a relevant area.
- Ability to architect and ship end-to-end systems, debug complex systems independently, and work alongside AI agents.
- Strong understanding of large-scale distributed systems and operating them reliably at frontier scale.
- Track record of leading technical projects across teams and mentoring engineers.
- Interest in how pretraining data shapes model quality and in owning systems that support frontier training runs.
- Must be able to work onsite at the Palo Alto office.
Benefits
- 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.
- Onsite work arrangement at the Palo Alto office.
Categories
Data Engineering
About Cursor
Cursor is an AI-powered code editor and coding assistant from Anysphere, built for professional software engineers and enterprise teams. It combines a VS Code–style editor with integrated AI chat, code generation, and repo-aware refactoring, and is sold via individual, team, and enterprise subscriptions. The company also targets sectors like healthcare and state and local education with field engineers who support evaluations and proofs of concept.