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Artificial Intelligence Researcher

  • Toronto, ON
  • Hybrid
  • Posted Oct 10, 2026
  • 1 position

$150,000–$170,000 / year

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Employment type
Contract, Full-time
Experience level
Senior · 5+ years
Minimum education
Master’s degree
Posting language
English
Working hours
40 hours per week
Office presence
2 days per week
Seniority
Mid-Senior level
Application method
Direct apply is available

Job summary

Conduct original research in computer vision and generative AI, and design, train, fine-tune, and optimize advanced models for on-device and cloud deployment. Develop scalable, production-ready AI systems, collaborate with development and MLOps teams to operationalize research, mentor interns, and share findings through presentations, publications, patents, and conferences.

Job details

Senior AI Researcher – Computer Vision & Generative AI Location: Toronto, ON – Hybrid, minimum 2 days onsite per week Employment Type: Permanent, Full-Time Salary: $150,000–$170,000 We are looking for a Senior AI Researcher with deep expertise in Computer Vision (CV) and Generative AI (GenAI) to develop advanced AI models and turn cutting-edge research into production-ready solutions. This is a highly technical research role for someone who has experience building, training and fine-tuning models, not simply using existing AI models or APIs. What You’ll Do Conduct original research in Computer Vision and Generative AI Design, train and fine-tune advanced CV and GenAI models Develop solutions for on-device and cloud-based AI inference Research and evaluate emerging AI technologies and algorithms Build efficient, scalable and production-ready AI systems Optimize models for performance and real-world deployment Work closely with development and MLOps teams to move research into production Mentor AI interns and support technical knowledge sharing Present complex AI concepts and research findings to technical and non-technical audiences Contribute to research publications, patents and industry conferences What We’re Looking For Master's or PhD in Computer Science or a closely related field 5–7 years of professional AI research experience Deep hands-on expertise in Computer Vision and Generative AI Strong experience training, fine-tuning and experimenting with models Strong understanding of generative media applications Expert-level Python Strong experience with PyTorch and/or TensorFlow Experience across the full ML lifecycle, including development, debugging, optimization and deployment Strong understanding of core machine learning and deep learning concepts Ability to explain complex mathematical and scientific concepts clearly Experience taking AI research into production-ready solutions Important Requirement Candidates should have a strong research background with first-author publications at leading AI conferences, such as: CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR or SIGGRAPH This role is best suited to someone with genuine AI research depth who has developed and trained advanced models and wants to continue pushing the boundaries of Computer Vision and Generative AI.

What you’ll do

Conduct original research in computer vision and generative AI, and design, train, fine-tune, and optimize advanced models for on-device and cloud deployment. Develop scalable, production-ready AI systems, collaborate with development and MLOps teams to operationalize research, mentor interns, and share findings through presentations, publications, patents, and conferences.

Requirements

Requires a master's or PhD in computer science or a related field and 5–7 years of professional AI research experience, with deep hands-on expertise in computer vision and generative AI. Candidates should have expert Python skills, experience with PyTorch and/or TensorFlow and the full ML lifecycle, and first-author publications at leading AI conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, or SIGGRAPH.

Listed skills

  • Python · Preferred
  • Machine learning · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Computer Vision
  • Generative AI
  • AI Research
  • Model Training
  • Model Fine-Tuning
  • Python
  • PyTorch
  • TensorFlow
  • Machine Learning
  • Deep Learning
  • Model Optimization
  • AI Inference
  • On-Device AI
  • Cloud-Based AI
  • Model Deployment
  • Technical Communication

Job areas

  • Science & Research
  • Technology
  • Software
  • Data & Analytics

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