Who we are

Lightricks is a pioneer in innovative technology that leads to breakthrough moments throughout the creation process. With a mission to push the limits of technology to reimagine the way creators express themselves, we bring a unique blend of cutting-edge academic research and design to every user experience. Our photo and video editing tools offer endless possibilities and inspiration, while our creator services provide content creators the ability to monetize their work and talents. We focus on putting creators in the center and empowering them from the moment inspiration strikes.

The Data Science group at Lightricks builds personalization, recommendations, search and AI assistant solutions for our products. To achieve this we conduct applied research in multiple Machine Learning areas, such as natural language processing, reinforcement learning, recommender systems and computer vision. Our models are integrated into lightricks products and enhance the experience of millions of users.

What you will be doing

• Lead machine learning based projects from ideation, through research, evaluation, production implementation and monitoring.
• Conduct independent applied research and innovation in new content and technological domains.
• Truly understand data and draw practical conclusions from it.
• Work with engineers, designers and product managers to produce new initiatives and improvement ideas.
• Keep abreast of new research developments in academia and expose them to all team members and stakeholders.

Your skills and experience

• M.Sc or Ph.D. degree in a technical field from a top tier university or equivalent experience.
• 4+ years of experience in leading machine learning related projects (e.g. recommendation systems, search, natural language processing, large language models).
• Experience with deploying machine learning models to production.
• Python experience & SQL skills - a must.
• Demonstrated ability to generate new ideas and innovate.
• Research track record including main contributions to projects you can showcase, peer-reviewed research publications, etc.

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