MWDN connects exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. We aim to ensure our employees enjoy a rewarding and secure experience while collaborating with prestigious international clients. MWDN is ranked among the top 5 IT employers in our region by DOU, and we pride ourselves on our transparency and commitment to our team.
Web-Scraping & bot-defense researcher
Location
United States
Posted
5 days ago
Salary
Not specified
No structured requirement data.
Job Description
Role Description
Our client is an innovative product company that transforms how businesses access and utilize data. Using over 1 million global IPs and a database of more than 650 million verified profiles, they empower companies to make data-driven decisions with precision and ease.
They are looking for creative, driven individuals eager to push boundaries and contribute to a rapidly expanding client base. If you’re passionate about data science, analytics, or tech, this is your chance to join a dynamic team that delivers impactful, real-time data solutions. Their collaborative, innovative culture provides the perfect environment for those looking to grow alongside industry experts.
Qualifications
- 2+ years of experience with web scraping and parsing techniques.
- Proven experience working at a large scale (tens or hundreds of millions of requests per day).
- Strong hands-on experience with Kubernetes and Docker.
- Solid experience with browser-based scraping, using tools such as Puppeteer or Selenium.
- Strong programming skills, particularly in languages such as Python or NodeJS.
- Familiarity with website technologies such as HTML, AJAX, and JavaScript.
- Strong analytical and problem-solving skills.
- Level of spoken English: at least an upper-intermediate.
Requirements
- Experience in reverse engineering JavaScript challenges is a significant plus.
- Experience with network scanners and sniffers such as Wireshark.
- Experience with web development, API design, or ETL processes.
- Familiarity with data storage technologies such as SQL or NoSQL databases.
- Experience in full-stack development.
- Experience with machine learning and AI techniques for detecting and defending against bots.
Benefits
- People-first management with minimal bureaucracy.
- A friendly company culture, proven by employees who choose to return.
- Flexible working hours.
- 29 days of PTO (18 working days per year plus all national holidays).
- 9 paid recovery days.
- Full financial and legal support for independent contractors.
- Free English classes, with native speakers or Ukrainian teachers.
- Dedicated HR support.
Job Requirements
- 2+ years of experience with web scraping and parsing techniques.
- Proven experience working at a large scale (tens or hundreds of millions of requests per day).
- Strong hands-on experience with Kubernetes and Docker.
- Solid experience with browser-based scraping, using tools such as Puppeteer or Selenium.
- Strong programming skills, particularly in languages such as Python or NodeJS.
- Familiarity with website technologies such as HTML, AJAX, and JavaScript.
- Strong analytical and problem-solving skills.
- Level of spoken English: at least an upper-intermediate.
- Experience in reverse engineering JavaScript challenges is a significant plus.
- Experience with network scanners and sniffers such as Wireshark.
- Experience with web development, API design, or ETL processes.
- Familiarity with data storage technologies such as SQL or NoSQL databases.
- Experience in full-stack development.
- Experience with machine learning and AI techniques for detecting and defending against bots.
Benefits
- People-first management with minimal bureaucracy.
- A friendly company culture, proven by employees who choose to return.
- Flexible working hours.
- 29 days of PTO (18 working days per year plus all national holidays).
- 9 paid recovery days.
- Full financial and legal support for independent contractors.
- Free English classes, with native speakers or Ukrainian teachers.
- Dedicated HR support.
Related Guides
Related Categories
Related Job Pages
More Research Engineer Jobs
Speech Research Intern -3
CentificCentific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster. Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers.
The intern will be responsible for designing and evaluating speech-first models, focusing on Spoken Language Models that interact conversationally over audio, moving concepts from prototype to practical demonstrations. Key tasks include developing end-to-end speech dialogue systems and aligning speech encoders with text backbones using lightweight adapters.
This is a remote position. Basic Function: Work as part of a multi-disciplinary team to support Research and Development (R&D) tax credit consulting services. The Associate works closely with Project Managers, Directors, and Clients to ensure accurate information is documented an...
The Research Engineer is responsible for building research prototypes, developing evaluation tooling for decision systems, and implementing experimental system architectures to enable fast iteration between theory and validation. This role also involves maintaining the technical research infrastructure necessary for applied research initiatives.
The Head of R&D is responsible for long-horizon capability development, focusing on exploring, prototyping, and formalizing the next generation of decision intelligence for the platform. This involves advancing future decision system architectures, formalizing higher-order reasoning, and converting research into reusable system primitives.
