COMPANY OVERVIEW: Birdseye’s mission is to help make the world a safer place We are the leader in AI-driven Remote Facility Supervision solutions for the Trucking and Logistics Industry. Our Maximum Telepresence Approach™ delivers cutting-edge, data-driven security and operational insights that create a safer working environment for millions of people every year. We provide end-to-end, cutting-edge hardware and AI-driven solutions, redefining security beyond traditional gatehouses. By empowering our professionally trained monitoring agents, we achieve 99.99% reporting accuracy in mission-critical security, safety, and operational support -24/7/365
- for some of the world’s largest logistics facilities, as well as small and medium-sized businesses. If you're ambitious, thrive in a fast-paced environment, and align with our ICARE values, Birdseye will be the perfect fit for you. If you’re wondering what the world will look like in 10 years
- join our Team

About the Role
We are looking for an Intern (Computer Vision) to work on real-world perception and AI problems, with an emphasis on up-to-date approaches, experimentation, and turning ideas into practical systems. We are especially interested in M.
A.
Sc., M.
Sc., and Ph.
D. students in relevant technical fields. Candidates with a strong portfolio of projects are also encouraged to apply. What You'll Work On:
• Modern computer vision and multimodal AI systems
• OCR and visual recognition
• Vision-language models and AI agents
• Algorithm design and optimization




• Confidence estimation and model reliability
• Simulation and synthetic data
• Active and self-learning systems
• Statistical modelling and experimentation
• Understanding and improving failure cases in production AI systems What We're Looking For:
• We are looking for someone with a good foundation in modern AI, computer vision, algorithms, mathematics, or statistics, and an interest in learning and solving practical problems.
• Designing algorithms and reasoning through technical problems
• Understanding modern AI architectures and research
• Breaking down open-ended problems into testable ideas
• Designing and running experiments
• Working with real-world datasets
• Reading research papers and applying relevant ideas
• Analyzing why AI systems fail
• Building and testing ideas independently Who Should Apply: We care more about what you have worked on and how you approach problems than your title or degree. Graduate students are ideal, but undergraduates and self-taught candidates with a strong portfolio of AI/CV work are also encouraged to apply. -To apply: Please include your resume/CV, portfolio or GitHub, and 1-3 projects or research efforts you are particularly proud of. This role will require the candidate to complete background checks (includes but not limited to: references, educational verification, criminal check, credit check
- where applicable). Certain roles may also require testing. #LI-Hybrid

📌 Intern Computer Vision (Mississauga)
🏢 Birdseye Solutions
📍 Mississauga