About MacV AI At MacV AI, we help prevent accidents in industrial sites by using Vision AI to instantly detect safety breaches. We’re a small, passionate team working together to leverage cutting-edge technology to help build safer workplaces. About the role As a Frontend Engineer, you will have the unique opportunity to shape the DNA of our user experience. You’ll be helping design and develop multiple dashboards for various use cases. Responsibilities: Work directly with the founds to conceptualize and implement an exceptional user interface. Lead frontend architecture decisions, ensuring the platform is scalable and maintainable. Incorporate user feedback to continuously iterate and refine the platform. Stay updated with the latest frontend technologies and integrate them where relevant. Requirements: Degree in technical discipline, ideally computer science Experience working with React/NextJS & VueJS Ability to integrate seamlessly with backend APIs. Familiarity with Git In-depth knowledge of responsive design. A keen eye for user experience and UI design. Strong communication skills and a collaborative mindset. What we offer: Interesting and challenging work Opportunity to convert full-time after 3 months of internship. Ownership of projects end-to-end while wearing multiple hats First-hand experience building an early-stage startup Unlimited vacation Our Tech Stack Our frontend is built using React/NextJS. We run our backend using Python/FastAPI and use PostgreSQL and MongoDB for storage. Next Steps Please fill out the following form to have us reach out to you with the next steps: https://tally.so/r/w2GDRD
About MacV AI At MacV AI, we help prevent accidents in industrial sites by using Vision AI to instantly detect safety breaches. We’re a small, passionate team working together to leverage cutting-edge technology to help build safer workplaces. About the role As a Software Engineer, you will have the unique opportunity to shape the DNA of our product experience. You'll build secure and scalable infrastructure, and develop robust backend solutions that power exciting new features. Responsibilities: Work directly with the founders to design and develop new features. Own the evolution and scaling of our backend infrastructure. Design and implement performant APIs and services. Optimise database performance and query efficiency. Continuously improve reliability and observability through enhanced monitoring and alerting. Requirements: Experience working with FastAPI/Django backends Strong proficiency in Python Deep knowledge of relational databases (we use PostgreSQL) Strong communication skills and a collaborative mindset. Good to have Experience with cloud infrastructure (we build on AWS and Azure) Experience with Computer Vision technologies Keen interest in AI developments What we offer: Interesting and challenging work Opportunity to convert full-time after 3 months of internship. Ownership of projects end-to-end while wearing multiple hats First-hand experience building an early-stage startup Unlimited vacation Our Tech Stack We run our backend using Python/FastAPI and use PostgreSQL and MongoDB for storage. Next Steps Please fill out the following form to have us reach out to you with the next steps: https://tally.so/r/waqPRy
About MacV AI At MacV AI, we help prevent accidents in industrial sites by using Vision AI to instantly detect safety breaches. 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 have the unique opportunity to shape the DNA of our product experience. Your primary focus will be advancing our Vision AI capabilities, from training custom CV models to experimenting with the latest VLMs. You’ll also contribute to building secure and scalable backend systems that power real-time safety monitoring for global industrial clients. Responsibilities: Work directly with the founders to design and develop new features. Develop and optimise computer vision models (e.g., YOLO, pose estimation, safety-specific detections) Experiment with new techniques and state-of-the-art VLMs for real-time understanding of camera feeds Extend and maintain our FastAPI backend and core infrastructure Improve system performance, reliability, and observability — from data pipelines to alerting workflows 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 Knowledge of MongoDB or other NoSQL databases Keen interest in new AI paradigms such as VLMs and multimodal reasoning systems 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
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, and demographic attribute estimation (e.g. age and gender). 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