Senior Data Scientist - AI Chatbot

Company Description

Wix makes it possible for anyone to succeed online. Since 2006, we’ve grown to around 5,500 employees in 22 countries, launched over 40 products, and serve over 278 million users and their visitors worldwide. At Wix, we push you to innovate, evolve in non-traditional ways, and collaborate. We operate in small teams that work closely together at a high level.

Although we’re already industry leaders in web creation and business, our work is nowhere near done. Our goal is to become the main engine of the Internet so we can create a more open web for all.

We're proud to be an equal opportunity employer. Wix was built around the idea that everyone has the right to be successful, online. This same vision defines us as an employer: creating a work environment where everyone is welcome, and anyone has the right to succeed.

Job Description

We’re looking for a talented researcher for the Data Science group, to help us develop advanced AI solutions that will empower impactful projects across Wix. The Data Science group leads the AI research and innovation efforts of the company, and is focused on pushing AI boundaries to enhance the product, optimize processes, and deliver personalized experiences.

• Conduct advanced research that will impact 250M+ users
• Leverage the latest advancements in LLM customization, knowledge representation, and conversational AI
• Build horizontal AI capabilities to be used across Wix
• Closely collaborate with other internal departments to drive impactful data-driven projects
  
  

• 5+ years in Data Science, with experience in managing full-cycle projects from initial concept to production deployment
• Comprehensive understanding with Machine Learning and Deep Learning principles and techniques and hands-on experience
• Specialized expertise in Natural Language Processing (Transformers, LLMs)
• Ability to write production ready code
• Knowledge and hands-on experience with Generative AI, including Prompt Engineering, Fine-Tuning, Automatic Evaluation, and Retrieval-Augmented Generation (RAG)
• Experience serving and fine-tuning open-source LLMs, or using cloud platforms such as AWS, GCP, or Azure — an advantage
• A PhD in Data Science, Statistics, Mathematics, Computer Science, or a related field, or publications and talks at leading conferences — an advantage