Computer Vision Intern (7-10k/month)

About MacV AI At MacV AI, we build real-time Vision AI systems for industrial environments — processing live video streams to understand what’s happening on the ground and prevent costly or dangerous outcomes. We’re a small, passionate team working together to leverage cutting-edge technology to help build safer workplaces.

About the role As a Computer Vision Intern, you’ll work directly on our next generation of perception systems. Your work will primarily focus on two core tracks: Computer vision for retail - people detection, multi-object tracking, re-identification across cameras, and demographic attribute estimation (e.g. age and gender). Computer vision for safety - object detection for safety use cases, low latency inference, real-time alert gener

You’ll be working close to the founders on problems that sit at the intersection of model design, system performance, and real-world constraints.

Responsibilities: Work directly with the founders to design and develop new features. Design, train, and evaluate computer vision models for person tracking, demographics detection, image similarity and feature extraction Experiment with new techniques and state-of-the-art VLMs for real-time understanding of camera feeds Build and benchmark real-time inference pipelines such as GPU utilisation, latency, and memory efficiency.

Requirements: Strong proficiency in Python Hands-on experience training and deploying deep learning models Familiarity with frameworks like PyTorch or TensorFlow Understanding of object detection and tracking systems Experience working with FastAPI/Django backends Basic database knowledge (PostgreSQL or MongoDB) Strong communication skills and a collaborative mindset

Good to have Experience with NVIDIA DeepStream, ONNX Runtime, or real-time video inference Experience with projects related to multi-object tracking, demographics detection or re-identification

What we offer: Interesting and high-impact technical challenges Opportunity to convert full-time after 3 months of internship. Ownership of projects end-to-end while wearing multiple hats First-hand experience scaling an early-stage startup Unlimited vacation (we care about outcomes, not hours)

Our Tech Stack Python, FastAPI, PostgreSQL, MongoDB, PyTorch, YOLO, VLMs, AWS / Azure