Work with us

Since its creation in 2018, the IFEMA MADRID LAB Foundation has carried out systematic R&D&I work, focusing on identifying and studying new technologies, adapting them to sectoral needs, and leveraging their potential and opportunities.

We are currently seeking a candidate interested in a paid internship as a Computer Vision Engineer. The selected individual will work alongside the research team on the design and implementation of various projects focused on multi-object tracking using computer vision techniques.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Computer Vision, or related fields.

• Knowledge of Image Processing and Deep Learning systems applied to Computer Vision, especially in Tracking and Re-Identification (ReID) systems.

• Experience and fluency with frameworks and libraries such as OpenCV, PyTorch, and Ultralytics.

• Strong Python programming skills within the field of Computer Vision.

• Experience with version control tools (Sourcetree, Git).

• Interest in research.

• Proactive and problem-solving attitude.

Responsibilities:

• Collaborate with a multidisciplinary engineering and research team to develop technologies from early-stage exploration to production.

• Actively participate in the definition, design, and implementation of projects, including brainstorming sessions, problem identification and scoping, solution design within the Computer Vision domain, implementation, documentation, meetings, and reporting.

• Support the design and development of new algorithms and computer vision prototypes in areas such as real-time detection, tracking, and ReID of people.

• Contribute to research activities in the field of Computer Vision.

Preferred Qualifications:

• Previous experience with detection systems (YOLO, Faster R-CNN, etc.) or multi-tracking methods. A portfolio showcasing previous work is highly valued.

• Experience in training and evaluating Deep Learning models.

• Demonstrated academic experience and participation in scientific publications.

• Experience with container technologies and cloud services such as Docker, Azure, AWS, or similar.

• Proficiency in English.

Benefits:

• Two days of remote work per week.

• Subsidized cafeteria.

• Free employee parking.

• Flexible start times.

• Young and dynamic work environment that values creativity and innovation.

• Access to continuous training in the latest technologies and development methodologies.

• Collaborative work environment with a team willing to share knowledge and experience.

• Opportunity to attend conferences and technology events, with access to the latest trends in the sector.