Applied AI Research Scientist
Applied AI Research Scientist
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Job Title: Applied AI Research Scientist
Location: Montreal Canada (Hybrid)
Employment Type: Fulltime
Experience Level: MidSenior 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 Montrealbased Research & Technology team. This hybrid role offers an exciting opportunity to contribute to cuttingedge 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 realworld 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 selfsupervised fewshot and zeroshot learning techniques.
-
Handson 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 Scikitlearn 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 crossfunctional 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 fewshot zeroshot 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 highperforming models for realworld 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 productionready 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 toptier conferences and contribute to patents and internal knowledge bases.
-
Serve as a subject matter expert in crossdisciplinary project teams providing technical guidance and mentorship.
If you are a forwardthinking researcher ready to take on complex challenges in a dynamic innovationdriven environment this is your opportunity to make a meaningful impact in the AI space.
Employment Type
Full Time
