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:

1. Computer vision for retail - people detection, multi-object tracking, and demographic attribute estimation (e.g. age and gender).
2. Visual understanding & retrieval - similarity search over images and video, object-level feature extraction, and identifying key visual elements within complex scenes.

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 with deep learning and computer vision (training and deploying models)
• Familiarity with frameworks like PyTorch or TensorFlow
• Experience working with FastAPI/Django backends
• Good understanding of databases (relational or NoSQL)
• 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 people tracking, demographics detection or image similarity and feature extraction

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