AI Research Scientist

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 243 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 diffusion models researcher to join our data science group and help train the next generation of diffusion-based GenAI models. The data science group leads Wix’s AI research and innovation efforts, pushing AI boundaries to enhance our products and AI pipelines.

In your day-to-day, you will:

• Conduct advanced research that will impact 250M+ users
• Build and train state-of-the-art image generation models to cornerstone our multimodal comprehensive AI design pipeline.
• Build horizontal AI capabilities to be used across Wix
• Collaborate with other internal departments to drive impactful data-driven projects
  
  

• 2+ years of experience in data science, including full-cycle training of diffusion models from concept to evaluation
• PhD / Msc in computer science, data science, statistics, mathematics, or a related field, or publications and talks at leading conferences
• Comprehensive understanding of machine learning and deep learning principles and techniques
• Hands-on experience with diffusion model architectures and training
• Specialized expertise in training diffusion models for image editing and image/video generation