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Permanent

Ontario

Toronto

Tech

Full

• Time

15-Oct-2025

About us

Research, innovation, and scale! Modi Face 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. Modi Face’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 automatedMLOpspipelines (data, preprocessing, training, tuning, deployment) for machine learning and LLM/VLMGenerative AI with VLMmodels in cloud environments.
• Deploy andoptimizedeep learning and Generative AI models across web and mobile platforms for enhanced performance and efficiency.
• Integrate and buildVLM/LLM-driven agentic workflows using existing services and APIs, embedding them into chat-based or autonomous interfaces.
• Develop andmaintainmodular, prompt-aware components with agent orchestration frameworks like Lang Chain.
• Implement advanced LLM techniques such as Retrieval-Augmented Generation (RAG), function calling, and memory-aware workflows to support sophisticated agent behaviors.
• Activelyparticipatein code reviews, testing, and champion best software development practices.
• Collaborate cross-functionally with ML engineers, product teams, and other stakeholders to industrialize ML, Computer Vision,and LLM/VLMmodels 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 Scienceor a closely related technical field.
• 3+ years of experience as an ML/LLM/VLMEngineer in a cloud development environment.
• Profound understanding of Generative AI architectures and methodologies, including vectorization, context-based retrieval, and LLM/VLMoperations.
• Demonstrated experience working in an agile/SCRUM development setting.
• Hands-on experience with orchestration frameworks (e.g.,Lang Chain,CrewAIfor developing multi-stepagents.
• 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.

Note: This is a Hybrid positions, you will need to commute to our downtown office minimum 2 days per week with possibility of 3 days per week.

Compensation:

At Modi Face, we believe compensation should be transparent, fair, and reflective of both experience and impact. The salary range for this role is $115.000 - $125.000. 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.

Our Perks

When you join Modi Face, 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 Modi Face, 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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