MX is looking to build advanced evasion strategies to bypass anti-bot mechanisms and integrate intelligent data extraction techniques to advance mankind and create meaningful and lasting change in the financial industry.
Requirements
- 4+ years of experience building and scaling web scraping tools
- Deep understanding of how bot detection systems work (e.g., Cloudflare, Akamai, hCaptcha)
- Experience with proxy management, user-agent spoofing, fingerprint manipulation
- Familiarity with CAPTCHA solving libraries/APIs, ML-based screen parsing, OCR
- Working knowledge of AI/ML for parsing or automation (e.g., Tesseract, TensorFlow, OpenAI APIs)
- Comfortable working with large-scale data pipelines, queues (e.g., Kafka, RabbitMQ), and headless fleet management
- Strong proficiency in TypeScript and Node.js
Responsibilities
- Lead a group to implement evasion techniques to bypass bot detection systems (e.g., fingerprint spoofing, dynamic delays, proxy rotations
- Design and maintain scalable web scraping pipelines using Puppeteer, Playwright, or headless browsers
- Leverage AI/ML models for intelligent parsing, CAPTCHA solving, and anomaly detection
- Handle large-scale data collection with distributed scraping infrastructure Monitor scraping performance, detect bans, and auto-recover from failure states
- Build structured outputs (e.g., JSON, GraphQL feeds) from semi-structured/unstructured sources
- Collaborate with product and data science teams to shape high-quality, reliable data inputs
- Ensure compliance with legal and ethical scraping practice
Other
- This role requires strong expertise in bot detection mitigation, and modern scraping architectures, along with a practical understanding of machine learning for smarter data acquisition.
- Travel expectations are about 15%
- This role is based in Lehi, Utah, with flexibility for both in-office and remote work.
- We are a high-performance organization that thrives on trust and results.
- As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, military or veteran status, status as an individual with a disability, or other applicable legally protected characteristics.
