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Contrat A Duree Indeterminee
Ontario
Toronto
Tech
Temps plein
15-oct-2025

About us

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 work with bright and insightful minds, passionate professionals, and a welcoming community where your creative ideas are exceedingly valued.

What You’ll Do 

  • Design and implement automated MLOps pipelines (data, preprocessing, training, tuning, deployment) for machine learning and LLM/Generative AI models in cloud environments.
  • Deploy and optimize deep learning and Generative AI models across web and mobile platforms for enhanced performance and efficiency.
  • Integrate and build LLM-driven agentic workflows using existing services and APIs, embedding them into chat-based or autonomous interfaces.
  • Develop and maintain modular, prompt-aware components with agent orchestration frameworks like LangChain.
  • Implement advanced LLM techniques such as Retrieval-Augmented Generation (RAG), function calling, and memory-aware workflows to support sophisticated agent behaviors.
  • Actively participate in code reviews, testing, and champion best software development practices.
  • Collaborate cross-functionally with ML engineers, product teams, and other stakeholders to industrialize ML and LLM/Generative AI models and convert domain-specific APIs into LLM-controllable tools.
  • Work within an agile framework, contributing to the delivery of high-quality products.
  • Foster a culture of continuous learning, collaboration, and improvement within the team.
  • Communicate complex technical and business concepts effectively to diverse audiences.

What You’ll Need

  • Bachelor’s or Master’s degree in Computer Science or a closely related technical field.
  • 3+ years of experience as an ML/LLM Engineer in a cloud development environment.
  • Profound understanding of Generative AI architectures and methodologies, including vectorization, context-based retrieval, and LLM operations.
  • Demonstrated experience working in an agile/SCRUM development setting.
  • Hands-on experience with orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI, Semantic Kernel) for developing multi-step LLM agents.
  • Aptitude for translating complex mathematical and scientific concepts into understandable terms for non-technical audiences.
  • Exceptional communication and collaboration skills, with a passion for working in a global team environment.

Please note that this is a hybrid position that requires being in the office a minimum of twice per week.

Our Perks  

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.

Along with a competitive salary, we offer access to Health & Dental Benefits, including company-sponsored wellness & training programs, Worldwide Profit Sharing, RRSP matching, employee assistance programs, exciting in-office and off-site social activities, team lunches, a stocked kitchen, and 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.

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  • Vous ne pouvez pas retirer votre candidature une fois que vous avez postulé, alors assurez-vous de choisir une offre qui correspond à vos attentes !
  • Vous pouvez voir les offres sur lesquelles vous avez déjà postulé dans l’onglet « Votre espace de candidature.
  • Veuillez ne pas créer un nouveau compte avec une adresse e-mail différente. Si vous le faites, vos comptes pourraient être fusionnés et votre dossier de candidature sera supprimé.