Data Acquisition Engineer - NLP
- 🌐New York / Remote
- 📅22 days ago
About the Company
Founded in 2018 by professors of Yale University and Columbia University, CertiK is a pioneer in blockchain security, utilizing best-in-class AI technology to secure and monitor blockchain protocols and smart contracts. CertiK’s mission is to secure the cyber world. Starting with blockchain, CertiK applies cutting-edge innovations from academia into enterprise, enabling mission-critical applications to be built with security and correctness.
CertiK is one of the fastest growing and most trusted companies in blockchain security and has become a true market leader. To date, we have collectively worked with over 3200 enterprise clients, helped secure over $310 billion worth of digital assets, and detected over 31,000 vulnerabilities in blockchain code. Our clients include leading projects such as Aave, Polygon, Binance Smart Chain, Terra, Yearn, and Chiliz. Our Q1 2021 revenues have more than quadrupled the revenue of the full 2020 year. Since Q1 2020, our team size has more than doubled, and this rate of growth will continue in 2021, creating a highly effective, remote-friendly culture with talents located worldwide.
CertiK just raised over $230 million in Series B, B+, B2 and B3 funding rounds over four months in 2021, putting the company over $2 Billion in valuation. Our investors include top VCs like Insight Partners, Sequoia, Tiger Global, Advent International, Goldman Sachs, Coatue Management, Shunwei Capital and Hillhouse Capital as well as industry leaders like Coinbase Ventures and Binance.
About the Role
CertiK is looking for a Data Acquisition Engineer to help build and maintain a data ingestion and organization system for our team of data scientists, focusing on social media and language data from platforms such as Twitter, Reddit, Instagram, Telegram, and more.
You are interested in helping us build a world-class data ingestion and analytical system, focusing on social media and other language data.
You are creative, have great attention to detail, and obsessed with optimizing and improving computational processes. You are up to the challenge of helping build a data infrastructure from the ground-up and making a huge impact from day one.