Hybrid Montreal: Applied AI Research Scientist

Industry Professionals; Montreal; Híbrido; CAD 100 000 - 130 000; Tempo integral

Resumo da oferta

A leading innovator in AI based in Montreal is looking for an Applied AI Research Scientist to join their multidisciplinary team. The ideal candidate should hold a Ph.D. or Master's degree along with substantial research experience in AI and computer vision. This hybrid role requires a strong background in AI methodologies, communication skills, and the ability to deploy real-world applications. If you are eager to contribute to groundbreaking research and innovations in AI, this opportunity is tailored for you.

Qualificações

• Strong knowledge of image sensing modalities like RGB and RADAR.
• Ability to publish research in leading AI conferences.
• Demonstrated ability to design experiments and analyze data.

Responsabilidades

• Conduct advanced research in AI and computer vision.
• Design and implement models for object detection and segmentation.
• Transition research into functional prototypes collaborating with engineering.

Conhecimentos

Ph.D. or Master's degree in Computer Science or related field

25 years of relevant research experience

Hands-on experience in computer vision

Strong theoretical knowledge of AI techniques

Proficient in Python and C++

Formação académica

Ph.D. or Master's degree

Ferramentas

PyTorch

TensorFlow

OpenCV

Descrição da oferta de emprego

About the job 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.