Research Crawling Engineer

Key Responsibilities

• Construct and maintain large-scale web crawlers across diverse domains
• Design high-throughput, fault-tolerant systems for data collection, managing volumes ranging from millions to billions of URLs per day
• Navigate anti-bot systems, rate limits, and dynamic, JavaScript-heavy websites
• Develop robust pipelines for data cleaning, deduplication, filtering, and normalization
• Build and maintain datasets specifically structured for research and machine learning model training
• Maintain and optimize crawl performance, coverage, and data quality through rapid iteration
• Collaborate with research teams to ensure data collection efforts align with modeling requirements
• Optimize infrastructure to ensure cost-efficiency, low latency, and reliability

Requirements

• Extensive programming experience in one or more of the following: Go, Rust, Python, Java, or C++
• Proven experience in building web crawlers or large-scale data pipelines
• Solid understanding of HTTP, networking protocols, and browser behavior
• Familiarity with distributed systems and parallel processing techniques
• Experience handling large datasets, ideally at the terabyte to petabyte scale
• Demonstrated ability to debug and maintain systems within unstable or adversarial environments

Preferred Qualifications

• Experience with NLP pipelines or dataset curation for machine learning
• Familiarity with LLM pre-training data or retrieval systems
• PRACTICAL EXPERIENCE WITH HEADLESS BROWSERS (e.g., Playwright, Puppeteer, or Chrome DevTools Protocol)
• Knowledge of proxy systems, IP rotation, and large-scale request orchestration
• Background in data quality evaluation or benchmarking
• Experience running workloads on cloud or bare-metal infrastructure

Benefits

• Impactful Opportunity: Contribute to the development of a web-scale crawler and knowledge graph at the forefront of AI data accessibility
• High-Performance Culture: Join a lean, low-ego team that prioritizes high output and professional growth
• Remote Work: This position is part of a fully remote team, offering flexibility and autonomy
• Competitive Compensation: A package including a competitive salary, comprehensive benefits, and equity, commensurate with experience and the ability to operate at scale

Interview Process

• Recruiter Coordination Call
• Hiring Manager Interview
• Founder / CEO Interview
• Secondary Executive Interview
• Final Interview