Senior AI Researcher: GenAI & Computer Vision

L'oreal Usa; Toronto; Hybrid; CAD 130,000 - 140,000; Full time

Benefits offered by this job

Health & Dental Benefits

Worldwide Profit Sharing

RRSP matching

Employee assistance programs

Team lunches

Stocked kitchen

Job summary

ModiFace, now part of L’Oréal, seeks a senior AI researcher to advance computer vision and GenAI. You will design, train, and deploy state-of-the-art models for on-device and cloud inference, and mentor interns while collaborating with cross-functional teams.

This hybrid role requires in-office presence near downtown Toronto at least twice per week. You will publish research, present at conferences, and contribute to cutting-edge beauty tech used worldwide.

Qualifications

• Master or Doctorate in computer science or a closely related field.
• Understanding generative media applications and GenAI.
• 5–7 years of AI research experience.
• Proficiency in Python with leading DL frameworks (PyTorch, TensorFlow).
• Experience in the full lifecycle of ML systems: development, debugging, optimization.
• First-author publications at top AI conferences (e.g., SIGGRAPH, ICML, ICLR, NeurIPS, CVPR, ICCV, ECCV).
• Ability to convey rigorous mathematical/scientific concepts to non-experts.

Responsibilities

• Advance CV and GenAI state-of-the-art models and algorithms.
• Architect and develop CV and GenAI models for on-device and cloud inference.
• Mentor AI interns and collaborate with development teams.
• Design and train advanced CV/GenAI models pushing boundaries of what's possible.
• Craft maintainable, scalable AI code for production systems.
• Evaluate and integrate emerging AI technologies into core capabilities.
• Communicate research findings to internal and external stakeholders and publish.

Skills

Python

Deep learning

Research experience

Publications

Communicate results

Education

Master's or PhD in CS

Tools

PyTorch

TensorFlow

ML frameworks

Job description

ModiFace, now part of L’Oréal, seeks a senior AI researcher to advance computer vision and GenAI. You will design, train, and deploy state-of-the-art models for on-device and cloud inference, and mentor interns while collaborating with cross-functional teams.

This hybrid role requires in-office presence near downtown Toronto at least twice per week. You will publish research, present at conferences, and contribute to cutting-edge beauty tech used worldwide.