Intern Computer Vision (Dallas)

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.

About birdseyeaccount

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!

Responsibilities

• 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.

Requirements

• 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.

About the Role

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

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