Algorithm Engineering Internship

Description About vHive At vHive, a global leader in Digital Twin software solutions, we’re transforming how enterprises digitize and manage field assets across telecom, renewable energy, and beyond. Our patented technology combines autonomous drone hives, computer vision, and AI to deliver actionable insights that uncover new revenue opportunities, reduce operational costs, and enhance safety. Operating in more than 40 countries across 5 continents, we’re setting the standard for large scale, data-driven digital transformation. As a CV Algorithm Developer, you’ll join our applied algorithms team at the forefront of this innovation. Your work will directly impact how drones fly smarter, how 3D models are reconstructed, and how business-critical insights are extracted from massive imagery datasets. You’ll tackle multi-disciplinary challenges spanning deep learning, photogrammetry, 3D mapping, and robotics, bringing solutions from theory to production alongside experienced mentors. What Are We Looking For? This is an incredible opportunity for a passionate entry-level engineer or final-year B.Sc. student to kickstart their career and help shape the future of Digital Twin technology. In this role, you will help design, implement, and optimize machine learning and computer vision models to process and extract insights from data captured by autonomous drones. You’ll be mentored by industry experts, taking algorithms from theoretical concepts to real-world impact on a global scale. If you are a fast learner who loves solving complex mathematical and visual problems, we want to hear from you! Job Description: Hands-on Development: Assist in developing algorithms to solve challenging computer vision problems, helping automate survey analysis and drone flight planning. Write Production-Ready Code: Bridge the gap between a Jupyter Notebook and real software. You’ll write clean, modular Python code and integrate your solutions into our product pipelines. Implement Modern Methods: Adapt and optimize state-of-the-art Deep Learning models (object detection, segmentation) for our massive drone imagery datasets. Analyze & Experiment: Run feasibility studies, evaluate model performance, and help clean and curate high-quality datasets for training. Learn & Grow: Work within an agile team of experts, adopting cutting-edge software development methodologies and iterating based on real-world feedback. Requirements Education: B.Sc. in Computer Science, Data Science, Electrical/Software Engineering, Physics, or a related exact science field. Alternative is a final-year students with a strong academic track record, provided they can work at least 4 days a week. Strong Coding Foundations: Highly proficient in Python. You know how to use Git, write clean code, and understand data structures. Familiarity with classic computer vision libraries (OpenCV, NumPy, SciPy). Academic/Project AI Experience: You have built, trained, or fine-tuned models using PyTorch or TensorFlow—whether for a major final university project, an academic lab, or a serious personal portfolio. Core Math & Theory: Solid understanding of machine learning fundamentals, loss functions, and optimizers. The "Startup" Mindset: A fast, independent learner who is resourceful, highly curious, and genuinely excited about computer vision and robotics. Communication: Good English skills and a collaborative, "can-do" attitude. Nice to have ● An outstanding final project (Capstone/Graduation project) focused on Deep Learning, 3D Reconstruction, or Computer Vision. ● Basic knowledge of 3D representations (point clouds, meshes), photogrammetry, or geometry. ● Familiarity with Cloud environments (AWS/GCP) or Docker. ● A passion for drones, robotics, or aviation. To help us get to know you better, please include your academic transcript/grades and a brief (1-2 paragraphs) motivation letter along with your CV.