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 modern 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 built and how you think about AI systems than your title or degree. Graduate students are ideal, but undergraduates and self-taught candidates with strong AI projects 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.
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