Frontier AI & Vision Research Scientist

Thales Canada; Montreal; Hybrid; CAD 110.000 - 150.000; Vollzeit

Benefits dieser Stelle

Extended Health

Dental

RRSP

Paid holidays

Employee Discounts

Zusammenfassung

Thales Canada is seeking an R&T scientist specializing in frontier AI and computer vision to discover, develop, and integrate innovative methods. You will create PoCs, prototypes, and demonstrators to show business value and guide maturation toward deployable AI components.

The role emphasizes curiosity, learning new techniques, and strong communication with stakeholders. Fluency in French and English is expected, with collaboration across Thales teams and external partners.

Qualifikationen

• Ph.D. or master’s degree in computer science, electrical engineering, or a related field with focus on computer vision, machine/deep learning and advanced AI models.
• Solid theoretical knowledge and understanding of machine learning fundamentals, supervised/unsupervised learning, self-supervised learning, efficient and few-shot learning.
• Demonstrate experience in developing and deploying computer vision algorithms in either academic or industrial settings.
• Strong understanding of various image sensing modalities, including RGB, RADAR, Infrared, LIDAR, hyperspectral, multispectral, RGB-D, thermal, ultrasonic, sonar, and structured light imaging.
• Strong knowledge of deep learning architectures for computer vision such as CNNs, Transformers, recent foundation models and related techniques used in object detection, segmentation and recognition.
• Solid experience in designing and executing experiments, refining models, optimization and data analysis.
• Proficiency in programming languages such as Python and C++, and in using ML frameworks such as PyTorch, Tensorflow, and Scikit-learn, and OpenCV library.
• A track record of research publications in relevant AI and computer vision conferences and journals, such as NeurIPs, ICCV, ECCV, CVPR, AAAI, and PAMI.
• Critical thinker with ability to communicating scientific work in a clear and effective manner.
• Excellent problem-solving skills with ability to think creatively and strategically.
• Excellent communication and teamwork skills.
• Strong written and verbal communication skills for effective collaboration and dissemination of research.
• Fluency in French and English (spoken and written).

Aufgaben

• Conduct research in computer vision, focusing on vision-language foundation models (VLMs, Ve-LLMs, and vision foundation models), image/video processing, efficient and training-free learning algorithms, and edge-optimized CV models.
• Design, adapt, and evaluate foundation models, vision-language models, and multimodal perception models for real-world use cases.
• Develop methods for object detection, segmentation, visual reasoning, tracking, and scene understanding.
• Conduct pioneering research in frugal learning methods to adapt large-scale models using fine-tuning, few-shot learning, zero-shot learning, prompt tuning, LoRA, or other parameter-efficient techniques.
• Establish rigorous evaluation protocols for accuracy, robustness, uncertainty, bias, explainability, and generalization.
• Translate state-of-the-art research into prototypes, demonstrators, and deployable AI components.
• Collaborate with cross-functional engineering teams to translate research breakthroughs into deployable prototypes and production-ready systems.
• Work on problems of diverse scope to support the deployment of trustworthy and certifiable AI models in critical systems.
• Publish research findings in relevant/top-tier conferences and journals, in AI and computer vision, and contribute to publishing innovation patents.
• Demonstrate excellent communication skills with both technical and non-technical stakeholders.
• Demonstrate good judgment in selecting methods and techniques for obtaining better solutions.
• Develop excellent collaboration skills with academic or research organizations (e.g., NSERC, MITACS, etc.), and with industrial partners.
• Suggest, collect, and synthesize system requirements from stakeholders and contribute to shaping effective research and innovation roadmaps.

Kenntnisse

Python

C++

Computer Vision

Deep Learning

Research Publications

French & English

Ausbildung

Ph.D. in computer science / electrical engineering or related field

Master’s degree in a related field

Tools

PyTorch

OpenCV

TensorFlow

Scikit-learn

Jobbeschreibung

Thales Canada is seeking an R&T scientist specializing in frontier AI and computer vision to discover, develop, and integrate innovative methods. You will create PoCs, prototypes, and demonstrators to show business value and guide maturation toward deployable AI components.

The role emphasizes curiosity, learning new techniques, and strong communication with stakeholders. Fluency in French and English is expected, with collaboration across Thales teams and external partners.