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.NOTE: This is a hybrid role; you are expected to be in the office a minimum of twice per week, at our downtown location.What You'll DoConduct original, publishable research by advancing thestate-of-the-artcomputer vision (CV) andGenerative AI(GenAI)models and algorithmsArchitect and develop CV and GenAI models and systems, focusing on efficient fine-tuning and on-device and in-cloud inferenceMentor AI interns and collaborate closely with development teams to ensure successful transfer of research into robust, production-ready solutionsStrategically design, develop, and meticulously train advanced CV and GenAI models and algorithms, pushing the boundaries ofwhat'spossibleCraft elegant, efficient, and maintainable code to build high-quality, scalable AI systemsProactively identify, evaluate, and integrate emerging AI technologies into the company's core technological capabilities, fostering a culture of continuous innovationCommunicate complex research findings to diverse internal and external stakeholders and fostering collaborationRepresent the company at leading AI conferences,



publish research findings in top-tier journals and patent novel AI advancementsWhat You'll NeedMaster or Doctorate degree in computer science or a closely related fieldA comprehensive, end-to-end understanding of generative media applications and a passion for pushing the frontiers of CV and GenAI.5 - 7 years of work experience in AI research, demonstrating deep expertise in training, fine-tuning, and experimenting with CV and GenAI beyond mere black-box utilization.Exceptional proficiency in Python, coupled with mastery of one or more leading deep learning frameworks (e.G., PyTorch, TensorFlow).Solid knowledge of programming languages and experience in the full lifecycle of ML systems, including development, debugging, and performance optimizationTrack record of first-author publications at premier AI conferences such as SIGGRAPH, ICML, ICLR, NeurIPS, CVPR, ICCV, or ECCVAbility to convey rigorous mathematical and scientific concepts to non-expertsCompensationAt ModiFace, we believe compensation should be transparent, fair, and reflective of both experience and impact. The salary range for this role is $150.000 - 170.000. Compensation is determined based on skills, experience, and the scope and complexity of the role. We value open conversations about compensation and are happy to discuss our approach at any stage of the hiring process.When you join ModiFace, you'll enjoy working with a team of passionate engineers and business professionals who are open and collaborative within an inclusive environment. We offer an opportunity to advance and refine your skills and talent.Our PerksHealth & Dental Perks, including company-sponsored wellness & training programsWorldwide Profit SharingRRSP matchingemployee assistance programsexciting in-office and off-site social activitiesteam lunchesa stocked kitchenand more!At ModiFace, we create software used by diverse people globally. We value diversity and inclusion within our team to ensure we can deliver the fairest and accessible technology possible, so we welcome and encourage all persons to apply. Accommodations are available upon request for candidates taking part in all aspects of the selection process. #J-18808-Ljbffr

📌 Modiface: Ai Researcher (Toronto)
🏢 L'Oreal
📍 Toronto