Research, innovation, and scale! ModiFace is the first tech company to be acquired by beauty giant L’Oréal and provides industry leading AR and AI technology to the most influential brands in the world. ModiFace’s patented technology is based on more than a decade of advanced facial recognition research at the University of Toronto and in collaboration with L'Oréal’s Research and Innovation team. Our services include live 3D makeup and skin care simulation, anti- aging/skin-care diagnostics, and live hair colour simulation.

In this critical role, you will be part of our AI team that is supported by our MLOps team. You will work with bright and insightful minds, passionate professionals, and a welcoming community where your creative ideas are exceedingly valued.

What You’ll Do

• Conduct original, publishable research by advancing thestate-of-the-artcomputer vision (CV) andGenerative AI(GenAI)models and algorithms
• Architect and develop CV and GenAI models and systems, focusing on efficient fine-tuning and on-device and in-cloud inference
• Mentor AI interns and collaborate closely withdevelopment teams to ensure successfultransferofresearchintorobust, production-ready solutions
• Strategically design, develop, and meticulously train advanced CV and GenAI models and algorithms, pushing the boundaries ofwhat'spossible
• Craft elegant, efficient, and maintainable code to build high-quality, scalable AI systems
• Proactivelyidentify, evaluate, and integrate emerging AI technologies into the company's core technological capabilities, fostering a culture of continuous innovation
• Communicatecomplex research findings to diverse internal and external stakeholders and fostering collaboration
• Represent the company at leading AI conferences, publish research findings in top-tier journals andpatent novel AI advancements

What You’ll Need

• Master or Doctorate degree in computer science ora closelyrelated field
• A comprehensive, end-to-end understanding of generative media applications and a passion for pushing the frontiers ofCV and GenAI.
• 5 - 7 years of work experience inAI research, demonstrating deep expertisein training, fine-tuning, and experimenting with CV and GenAI beyond mere black-boxutilization.
• Exceptionalproficiencyin Python, coupled with mastery of one or more leading deep learning frameworks (e.g.,PyTorch, TensorFlow).
• Solid knowledge of programming languages and experiencein the full lifecycle of ML systems, including development, debugging, and performance optimization
• Track recordof first-author publications atpremierAI conferencessuch as SIGGRAPH, ICML, ICLR,NeurIPS, CVPR, ICCV, or ECCV
• Ability to convey rigorous mathematical and scientific concepts to non-experts