Research Crawling Engineer

Research Crawling EngineerThe employer is a decentralized, Solana-based web-scraping network that allows users to monetize their unused internet bandwidth. By installing a browser extension, users securely share bandwidth to help AI companies crawl the web for public data, receiving Points (convertible to crypto tokens) as compensation. They also operate a massive distributed crawler, giving them unique access to high-quality public web data at global scale. You will join a company at the forefront of developing a web-scale crawler and knowledge graph that improves access to public web data and extends the value of AI to the people.As a Research Crawling Engineer, you will design and operate large-scale web data acquisition systems for research and model development. You will work will span distributed systems, scraping infrastructure, and data pipelines. This Role Involves:Operating at the boundary of scale and reliabilityAdapting to constantly changing web environmentsBalancing throughput, coverage, and data qualityOwning end-to-end data acquisition pipelinesMISSIONSDesign high-throughput, fault-tolerant systems for data collection (millions to billions of URLs/day)Handle anti-bot systems, rate limits, and dynamic/JS-heavy sitesDevelop pipelines for cleaning, deduplication, filtering, and normalizationConstruct and maintain datasets for research and model trainingMonitor crawl performance, coverage, and data quality; iterate quicklyCollaborate with research teams to align data collection with modeling needsOptimize infrastructure for cost, latency, and reliabilityExample Projects you could work on:Build a distributed crawler for a continuously updated, high-quality web projectDesign a system to classify and filter billions of pages for pretrainingExtract structured data from dynamic, JS-heavy sites at scaleImprove deduplication and quality scoring across multimodal datasetsRequirementsStrong programming experience in one or more of: Go, Rust, Python, Java, or C++Experience working for reputable companiesExperience building and maintaining large-scale web crawlers or large-scale data pipelinesExperience designing high-throughput, fault-tolerant systems for data collection (millions to billions of URLs/day)Experience handling anti-bot systems, rate limits, and dynamic/JS-heavy sitesExperience constructing and maintaining datasets for research and model trainingSolid understanding of networking, and browser behaviorFamiliarity with distributed systems and parallel processingExperience working with large datasets (TB–PB scale preferred)Ability to debug unstable or adversarial environmentsPreferred / Bonus:Experience with NLP pipelines or dataset curation for MLFamiliarity with LLM pretraining data or retrieval systemsExperience with headless browsers (e.g., Chrome DevTools Protocol, Playwright, Puppeteer)Knowledge of proxy systems, IP rotation, and large-scale request orchestrationBackground in data quality evaluation or benchmarkingExperience running workloads on cloud or bare-metal infrastructureMain Evaluation Criteria:Ability to design systems that scale without degrading qualityPractical problem-solving under real-world constraintsSpeed of iteration and ownershipMeasurable improvements in data coverage, quality, or efficiencyBenefitsContract: Permanent role (Full remote - USA or 6 hour overlap with EST).Salary: $150k to $225k based on experience and demonstrated ability to operate at scale + Equity package / tokensRecruitment process: Recruiter / HR Call Technical Interview CEO Interview Final Interview