Scientifique-chercheur en IA Appliquée / Applied AI Research Scientist

Thales Group; Montreal; Hybrid; CAD 80,000 - 120,000; Full time

Job summary

A global technology organization in Montreal is seeking a talented researcher to join their Applied AI Research Team. The role involves conducting research in computer vision, developing state-of-the-art models, and collaborating with engineering teams. Candidates should have a Ph.D. or Master’s degree, with strong skills in machine learning and experience in deploying algorithms in real-world applications. The position offers a hybrid work model and comprehensive employee benefits.

Benefits

Health and dental coverage

Retirement plans

Vacation and holidays

Employee assistance programs

Qualifications

• Ph.D. or Master’s degree in computer science or related field focusing on computer vision.
• 2 to 5 years of research experience in robotics or similar fields.
• Excellent problem-solving and communication skills.

Responsibilities

• Conduct research in computer vision focusing on deep learning models.
• Develop and optimize computer vision models for object detection.
• Publish research findings in top conferences and contribute to patents.

Skills

Machine learning fundamentals

Computer vision algorithms

Image/video processing

Problem-solving skills

Communication skills

Fluency in English

Education

Ph.D. or Master’s degree in computer science or related field

Tools

Python

C++

PyTorch

TensorFlow

OpenCV

Job description

Overview

Thales Group is a global organization with operations on all continents serving five major markets: aerospace, space, ground transportation, defense and security, and digital security. Thales enables safe and smart cities and critical infrastructure, protects data and privacy, and connects security forces on critical missions while staying ahead of digital threats.

Thales’ Applied AI Research Team in Canada is looking for a talented researcher to solve complex research questions and apply them to critical machine learning projects. The team aims to design and implement cutting‑edge solutions with safe, robust, trustworthy, and certifiable machine learning capabilities.

Location: Montreal, Canada (hybrid role).

Responsibilities

• Conduct research in computer vision, focusing on image/video processing, deep learning models and algorithm development.
• Develop, implement and optimize state‑of‑the‑art computer vision models for tasks such as object detection, segmentation, recognition, and tracking.
• Explore frugal learning methods (e.g., few‑shot and zero‑shot learning) and develop algorithms that learn from limited data while maintaining generalization and accuracy.
• Develop innovative solutions to validate and verify robustness of machine/deep learning models for real‑world applications.
• Collaborate with cross‑functional engineering teams to translate research breakthroughs into deployable prototypes and production‑ready systems.
• Support the deployment of trustworthy and certifiable AI models in critical systems.
• Publish research findings in top conferences and journals in AI and computer vision; contribute to patents as appropriate.
• Demonstrate clear communication with both technical and non‑technical stakeholders; synthesize system requirements and contribute to research/innovation roadmaps.
• Contribute as a technical subject matter expert to R&T projects across Thales and its business units; develop collaboration with academic and industrial partners.

Qualifications

• Ph.D. or Master’s degree in computer science, electrical engineering, or a related field with focus on computer vision, machine/deep learning or AI.
• Solid theoretical knowledge of machine learning fundamentals; experience with supervised/unsupervised/self‑supervised and few‑shot learning.
• Experience in developing and deploying computer vision algorithms in academic or industrial settings.
• Strong understanding of imaging modalities (RGB, RADAR, Infrared, LIDAR, hyperspectral, multispectral, RGB‑D, thermal, ultrasonic, sonar, structured light).
• Strong knowledge of deep learning architectures for computer vision (CNNs, Transformers, foundation models) for detection, segmentation and recognition.
• Experience designing and executing experiments, refining models, optimization and data analysis.
• Proficiency in Python and C++, and ML frameworks (PyTorch, TensorFlow, scikit‑learn) and OpenCV.
• Excellent problem‑solving, written and verbal communication, and teamwork skills; ability to present scientific work clearly.
• Fluency in English (spoken and written). French proficiency is a plus.
• 2 to 5 years of research experience in robotics, autonomous vehicles, or similar fields; track record of publications in AI/computer vision venues (e.g., NeurIPS, ICCV, ECCV, CVPR, AAAI, PAMI); experience with radar image detection/segmentation is a plus.
• Ability to work in a multidisciplinary team and transfer findings to stakeholders; ability to engage with academic and industrial partners.

Qualifications souhaitées / Additional notes

• French language skills (spoken and written) are preferred where noted.
• Experience with radar imaging algorithms is a plus.

Other details

• The job may require setting up equipment and performing field trials in outdoor environments.
• About Thales: Thales is an equal opportunity employer that values diversity and inclusivity; accommodations are available during the recruitment process upon request.
• Benefits include company‑paid health and dental coverage, retirement plans, holidays, vacation, sick leave, and various employee assistance programs.

Note: This refined description preserves the core responsibilities and qualifications while removing extraneous duplication and non‑compliant formatting. It does not alter the job’s context or details.