Applied AI Research Scientist

Job Title: Applied AI Research Scientist
Location: Montreal, Canada (Hybrid)
Employment Type: Full-time
Experience Level: Mid-Senior Level
Industry: Artificial Intelligence / Computer Vision
Job Sourced By: Industry Professional sourcing candidates for its client based in Canada

About the Role

Our client, a leading innovator in AI and Computer Vision, is seeking an Applied AI Research Scientist to join their Montreal-based Research & Technology team. This hybrid role offers an exciting opportunity to contribute to cutting-edge innovation in a multidisciplinary environment. The ideal candidate is a highly motivated, creative thinker with strong technical expertise, passionate about developing novel AI methodologies and transforming them into scalable, real-world applications.

Requirements

• Ph.D. or Masters degree in Computer Science, Electrical Engineering, or a related field with a focus on AI, machine/deep learning, or computer vision.

• 25 years of relevant research experience in robotics, autonomous systems, or related domains.

• Strong theoretical knowledge of supervised, unsupervised, self-supervised, few-shot, and zero-shot learning techniques.

• Hands-on experience developing and deploying computer vision models in academic or industrial settings.

• Solid understanding of image sensing modalities such as RGB, RADAR, Infrared, LIDAR, hyperspectral, thermal, etc.

• Expertise in deep learning architectures including CNNs, Transformers, and foundation models for tasks like detection, segmentation, and recognition.

• Proficient in Python and C++ with practical experience using ML/DL frameworks such as PyTorch, TensorFlow, Scikit-learn, and OpenCV.

• Demonstrated ability to design experiments, analyze data, and optimize models for performance.

• Strong written and verbal communication skills in English, with the ability to clearly convey complex technical concepts.

• Demonstrated ability to publish research in leading AI and computer vision conferences/journals (e.g., NeurIPS, CVPR, ICCV, ECCV, AAAI, PAMI).

• Excellent collaboration and teamwork abilities, including cross-functional communication with stakeholders.

Preferred Skills

• Proven experience with detection and segmentation algorithms for radar image data.

• Exposure to research collaboration with academic institutions (e.g., NSERC, MITACS) and industrial R&D partners.

• Familiarity with deploying trustworthy and certifiable AI models in critical applications.

• Background in developing AI models under resource constraints (e.g., frugal, few-shot, zero-shot learning).

• Patent contributions or innovation disclosures are a plus.

Key Responsibilities

• Conduct advanced research in AI and computer vision, focusing on image/video processing, deep learning, and innovative algorithm development.

• Design and implement high-performing models for real-world tasks such as object detection, segmentation, and tracking.

• Lead exploration of frugal learning approaches to maximize performance from minimal training data.

• Validate robustness and reliability of machine learning models under practical deployment conditions.

• Transition research into functional prototypes and production-ready solutions in collaboration with engineering teams.

• Contribute to strategic research roadmaps by translating stakeholder requirements into innovative research objectives.

• Publish and present research findings at top-tier conferences and contribute to patents and internal knowledge bases.

• Serve as a subject matter expert in cross-disciplinary project teams, providing technical guidance and mentorship.

If you are a forward-thinking researcher ready to take on complex challenges in a dynamic, innovation-driven environment, this is your opportunity to make a meaningful impact in the AI space.