Senior AI Researcher
- Toronto, ON, Canada
$140,000 to $170,000 CAD / year · Full-time
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Job details
- Pay
- $140,000 to $170,000 CAD / year
- Job type
- Full-time
- Apply by
- Experience
- 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.
- Posting language
- English
- Posted
Original job description
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 efficient 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
More about this job
Responsibilities
Conduct original, publishable research and develop advanced computer vision and generative AI models and systems, including efficient fine-tuning and on-device and cloud inference. Mentor interns, collaborate with development teams to bring research into production, evaluate emerging technologies, communicate findings, and represent the company through publications, conferences, and patents.
Requirements
A master's or doctoral degree in computer science or a closely related field and 5–7 years of AI research experience are required, with deep expertise in training, fine-tuning, and experimenting with computer vision and generative AI. Candidates should have strong Python and deep learning framework skills, experience across the machine learning systems lifecycle, first-author publications at leading AI conferences, and the ability to explain scientific concepts to non-experts.
Skills
- Computer Vision
- Generative AI
- AI Research
- Model Training
- Model Fine-Tuning
- Python
- PyTorch
- TensorFlow
- Machine Learning Systems
- Performance Optimization
- On-Device Inference
- Cloud Inference
- Research Communication
- Mentoring
- Scientific Writing
- Patent Development
Visa sponsorship
Not detected in the job text
Categories
- Science & Research
- Technology
- Software
- Data & Analytics
Keywords
- Artificial Intelligence
- AI Research
- Computer Vision
- Generative AI
- Generative Media
- Machine Learning
- MLOps
- Python
- PyTorch
- TensorFlow
- Deep Learning
- Model Training
- Model Fine-Tuning
- On-Device Inference
- Cloud Inference
- Machine Learning Systems
- Performance Optimization
- Production-Ready Systems
- Research Publications
- AI Conferences
- SIGGRAPH
- ICML
- ICLR
- NeurIPS
- CVPR
- ICCV
- ECCV
- Patents
- Toronto