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 Do

- Conduct original, publishable research by advancing the state-of-the-artcomputer vision (CV) andGenerative AI(GenAI)models and algorithms
- Architect and develop CV and GenAI models and systems, focusing on productive fine-tuning and on-device and in-cloud inference
- Mentor AI interns and collaborate closely withdevelopment teams to ensure successfultransferofresearchintorobust, production-ready solutions
- Strategically design, develop, and meticulously train advanced CV and GenAI models and algorithms, pushing the boundaries ofwhat'spossible
- Craft elegant, efficient, and maintainable code to build high-quality, scalable AI systems
- Proactivelyidentify, evaluate, and integrate emerging AI technologies into the company's core technological capabilities, fostering a culture of continuous innovation




- Communicatecomplex research findings to diverse internal and external stakeholders and fostering collaboration
- Represent the company at leading AI conferences, publish research findings in top-tier journals andpatent novel AI advancements
- What You’ll Need

- Master or Doctorate degree in computer science ora closely related field
- A comprehensive, end-to-end understanding of generative media applications and a passion for pushing the frontiers ofCV and GenAI.
- 5 - 7 years of work experience inAI research, demonstrating deep expertise in training, fine-tuning, and experimenting with CV and GenAI beyond mere black-boxutilization.
- 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 experiencein the full lifecycle of ML systems, including development, debugging, and performance optimization
- Track recordof first-author publications at premierAI conferencessuch as SIGGRAPH, ICML, ICLR,NeurIPS, CVPR, ICCV, or ECCV
- Ability to convey rigorous mathematical and scientific concepts to non-experts

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📌 Senior AI Researcher (Toronto)
🏢 TEEMA
📍 Toronto