We are driven by our moral imperative to advance mankind - and it all starts with our people, product and purpose. We always carry a deep sense of drive and passion with us. If you thrive in a challenging work environment, surrounded by incredible team members who will help you grow, MX is the right place for you. Come build with us and be part of an award-winning company thats helping create meaningful and lasting change in the financial industry.

Were looking for a highly skilled engineer who thrives at the intersection of automation, AI, and web data extraction. You will be responsible for building advanced web scraping systems, designing evasion strategies to bypass anti-bot mechanisms, and integrating intelligent data extraction techniques.

This role requires strong expertise in TypeScript, Puppeteer (or Playwright), and modern scraping architectures, along with a practical understanding of bot detection mechanisms and machine learning for smarter data acquisition.

Key Responsibilities :

- Design and maintain scalable web scraping pipelines using Puppeteer, Playwright, or headless browsers

- Implement evasion techniques to bypass bot detection systems (e.g., fingerprint spoofing, dynamic delays, proxy rotation)

- 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

Required Skills & Experience :

- 4+ years of experience building and scaling web scraping tools

- Strong proficiency in TypeScript and Node.js

- Hands-on with Puppeteer, Playwright, or Selenium for browser automation

- 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

Additional Skills :

- Experience with cloud infrastructure (AWS/GCP) for scalable scraping jobs

- CI/CD and containerization (Docker, Kubernetes) for deployment

- Knowledge of ethical and legal considerations around data scraping

- Contributions to open-source scraping frameworks or tools

Work Environment :

In this role, a significant aspect of the job involves working in the office for a standard 40-hour workweek. We believe that the collaborative nature of our work and the face-to-face interactions among team members are essential for fostering a dynamic and productive work environment.

Being present in the office enables seamless communication, facilitates quick decision-making, and encourages spontaneous collaboration that contributes to the overall success of our projects. We value the synergy that comes from having our team members physically together, allowing for immediate problem-solving, idea exchange, and team building.

Compensation :

The expected earnings for this role could be comprised of a base salary and other forms of cash compensation, such as bonus or commissions as applicable.

This pay range is just one component of MXs total rewards package. MX takes a number of factors into account when determining individual starting pay, including job and level they are hired into, location, skillset, peer compensation.