Research Crawling Engineer

🕒 Abril 28

🗽 New York – Remoto

🗽 New York – Remote

💵 $80.000 - $175.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

👷🏻‍♀️ Engenheiro

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MLabs

SiteLinkedInTodas as Vagas

51 - 200 funcionários

A MLabs Consulting ajuda a configurar especificações de projetos, implementar, gerenciar e manter projetos técnicos para IA, Fintech, Tecnologia da Informação e mais. Somos especializados em programação funcional, compiladores, IA, DevOps e desenvolvimento full-stack.

Descrição

• 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. • Monitor 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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.