Closed listing
Senior AI Researcher
- Toronto, ON, Canada
Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Full-time
- Closing date
- Experience
- 5 - 7 years of work experience inAI research, demonstrating deep expertisein training, fine-tuning, and experimenting with CV and GenAI beyond mere black-boxutilization.
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
About the job
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 thestate-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 closelyrelated 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 expertisein training, fine-tuning, and experimenting with CV and GenAI beyond mere black-boxutilization.
- Exceptionalproficiencyin 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 atpremierAI 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 research and develop advanced computer vision and generative AI models, with an emphasis on efficient fine-tuning and on-device and cloud inference. Mentor interns, collaborate with development teams to bring research into production, 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. Candidates should have deep computer vision and generative AI expertise, strong Python and deep learning framework skills, experience across the machine learning systems lifecycle, and a record of first-author publications at leading AI conferences.
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
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Science & Research
- Software
- Data & Analytics
Keywords
- Computer Vision
- Generative AI
- AI Research
- Machine Learning
- MLOps
- Python
- PyTorch
- TensorFlow
- Model Training
- Model Fine-Tuning
- On-Device Inference
- Cloud Inference
- Machine Learning Systems
- Performance Optimization
- Production-Ready Solutions
- Generative Media
- Research Publications
- First-Author Publications
- AI Conferences
- SIGGRAPH
- ICML
- ICLR
- NeurIPS
- CVPR
- ICCV
- ECCV
- Patents
- Mentoring
- Scientific Communication