About Mistral
At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.
We democratize AI through high-performance, optimized, open-source, and cutting-edge models, products, and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.
We are a dynamic, collaborative team passionate about AI and its potential to transform society.
Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, the USA, the UK, Germany, and Singapore. We are creative, low-ego, and team-spirited.
Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.
Role Summary
We are looking for a skilled and motivated Web Crawling Engineer to join our dynamic engineering team. The ideal candidate should have a solid background in distributed web crawling, scraping and data extraction, with experience using advanced tools and technologies to collect and process large-scale data from diverse web sources at large scale.
What you will do
As a Web crawling engineer, you will be responsible for:
• Developing and maintaining web crawlers using Go to extract data from target websites.
• Utilize headless browsing techniques, such as Chrome DevTools, to automate and optimize data collection processes.
• Collaborate with cross-functional teams to identify, scrape, and integrate data from APIs and web pages to support business objectives.
• Create and implement efficient parsing patterns using tokenizers, regular expressions, XPaths, and CSS selectors to ensure accurate data extraction.
• Design and manage distributed job queues using technologies such as Redis, Aerospike and Kubernetes to handle large-scale distributed crawling and processing tasks.
• Develop strategies to monitor and ensure data quality, accuracy, and integrity throughout the crawling and indexing process.
• Continuously improve and optimize existing web crawling infrastructure to maximize efficiency and adapt to new challenges.
About you
Core programming and web technologies
• Proficiency in Go (Golang)/Rust/Zig for building scalable and efficient web crawlers.
• Deep understanding of TCP, UDP, TLS and HTTP/1.1,2,3 protocols and web communication.
• Knowledge of HTML, CSS, and JavaScript for parsing and navigating web content.
• Familiarity with cloud platforms (AWS, GCP), orchestration (Kubernetes, Nomad), and containerization (Docker) for deployment.
Data Structures & Algorithms
• Mastery of queues, stacks, hash maps, and other data structures for efficient data handling.
• Ability to design and optimize algorithms for large-scale web crawling.
Web Scraping & Data Acquisition
• Hands-on experience with networking and web scraping libraries.
• Understanding of how search engines work and best practices for web crawling optimization.
Databases & Data Storage
• Experience with SQL and/or NoSQL databases (knowing Aerospike is a bonus) for storing and managing crawled data.
• Familiarity with data warehousing and scalable storage solutions.
Distributed Systems & Big Data
• Knowledge of distributed systems (e.g., Hadoop, Spark) for processing large datasets.
Bonus Skills (Nice-to-Have)
• Experience with web archiving projects & tooling, open-source archiving is a big plus!
• Experience applying Machine Learning to improve crawling efficiency or accuracy.
• Experience with low-level networking programming and/or userspace TCP/IP stacks.
Hiring Process
Here is what you should expect:
• Introduction call - 35 min
• Hiring Manager Interview - 30 min
• Live-coding Interview - 45 min
• System Design Interview - 45 min
• Deep dive interview (optional) - 60min
• Culture-fit discussion - 30 min
• Reference checks
