- Oficina en Montreal
SUMMARY
We are seeking a highly motivated Computer Vision Intern to join our AI team and contribute to the development of state-of-the-art machine learning solutions. This role involves tackling challenging problems in computer vision, with focus areas including object detection and segmentation, multi-object tracking and association, self-supervised and metric learning, foundation models, and few-shot learning.
You will explore innovative approaches for visual recognition, enhance existing models, and optimize performance for real-time and edge deployment. This is a hands-on role requiring strong technical foundations, creativity, and a willingness to experiment with novel ideas in both research and applied settings.
RESPONSIBILITIES
- Monitor, evaluate, and troubleshoot existing solutions, ensuring they operate as expected, and recommend improvements where necessary.
- Prototype, benchmark, and improve computer vision models using deep learning techniques, including CNNs, transformers, self-supervised learning, metric learning, and foundation models.
- Enhance and evaluate real-time object detection, segmentation, multi-object tracking, and object association algorithms.
- Explore and implement few-shot learning strategies for scenarios with limited training data.
- Optimize inference for edge devices (e.g., NVIDIA Jetson) using techniques such as quantization and pruning.
- Collaborate with team members to integrate models into production systems.
- Document findings, present results, and contribute to internal knowledge sharing.
QUALIFICATIONS
Required:
- Bachelor’s or Master’s degree (completed or in progress) in Computer Science, Electrical Engineering, or a related field with focus on AI or computer vision.
- Strong understanding of deep learning fundamentals, particularly CNNs, transformers, self-supervised and metric learning
- Knowledge of object detection (e.g., YOLO, DETR), segmentation (e.g., UNet, SAM), and tracking algorithms (e.g., SORT, DeepSORT).
- Experience with few-shot learning approaches.
- Proficiency in Python and deep learning frameworks (e.g., PyTorch).
- Working knowledge of Linux environment
- Strong problem-solving skills and ability to work independently in a fast-paced setting.
- Effective communication skills, both written and verbal.
Preferred (Assets):
- Experience deploying models on edge devices (e.g., NVIDIA Jetson).
- Prior academic or industry experience in computer vision R&D.
- Exposure to cloud-based ML platforms (e.g., Azure ML)
Company
Fujitsu at a Glance
Fujitsu is a leading information and communication technology (ICT) company, headquartered in Japan, offering a full range of technology products, solutions, and services. Approximately 132,000 Fujitsu people support customers in more than 100 countries. We use our experience and the power of ICT to shape the future of society with our customers.
We are a corporate culture that places great value on the pursuit of new possibilities previously unimagined and brings them to fruition. This has been the foundation of Fujitsu’s success since its inception. In an increasingly competitive world, in which the pace of change continues to accelerate, Fujitsu must strive for continuous innovation. Each and every employee will rise to the challenge of creating new value amid changes in the management environment, technology, society and the marketplace. With a spirit of challenge, we are committed to the continuous creation of new value. Fujitsu wants innovators like you!
At Fujitsu, one of our corporate principles is "We respect human rights." This principle underpins all our corporate and individual activities and guides the actions of every Fujitsu Group member. We embrace diversity and equal opportunity. Qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, ethnic or national origin, citizenship, political belief, social condition, family, marital or civil status, genetics, disability, age, veteran status, or conviction of an offence that is unrelated to employment. By empowering people, we can unleash our collective strengths to create a better experience for our employees, our customers, and our partners.
