Computer Vision Summer Intern at AVIAN LLC

Dübendorf, Zurich, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

24 Aug, 26

Salary

0.0

Posted On

26 May, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Vision, Python, C++, OpenCV, PyTorch, TensorFlow, Image Processing, Linear Algebra, Deep Learning, Thermal Imaging, Edge AI Deployment, Anomaly Detection, Object Tracking, Data Augmentation, Camera Calibration, Video Streaming Protocols

Industry

Description

Your mission Your Mission At AVIAN, our mission is clear: we stop fires before they start. Our infrared camera systems and AI-driven monitoring help industrial companies detect abnormal heat early, prevent fire risk, protect assets, and avoid costly downtime. We have reached product-market fit. We have the product, the proof, and strong customer demand. Now we need to scale the technology behind it. As a Computer Vision Summer Intern, your mission is to help optimize and scale the visual intelligence that powers AVIAN’s fire prevention platform. You will work directly with our AI and engineering teams to refine our thermal image processing pipelines, improve edge/cloud model deployment, and enhance how our systems interpret real-world environments. This is not a passive internship. You will ship real code and algorithms that directly impact our detection capabilities. You Will: Optimize CV Pipelines: Build, test, and improve video ingestion and image processing pipelines for both thermal (infrared) and optical camera streams. Enhance Edge & Cloud AI: Assist in deploying, benchmarking, and optimizing computer vision models for low-latency inference on edge devices and cloud infrastructure. Data & Calibration Workflows: Develop internal tools for automated camera calibration, data augmentation, and synthetic data generation to improve model robustness. Thermal Analysis: Work on spatial-temporal analysis, object tracking, and anomaly detection algorithms tailored to thermodynamic behavior. Debug & Validate: Troubleshoot vision-specific issues across diverse lighting, environmental conditions, and hardware setups. Collaborate Cross-Functionally: Work closely with hardware, software, and product teams to translate physical camera capabilities into reliable digital data. Maintain High Standards: Write clean, maintainable Python/C++ code with proper testing, documentation, and rigorous peer reviews. AVIAN is an equal-opportunity employer. We welcome applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. Reasonable accommodations are available upon request. Your profile Your Profile You are a curious and pragmatic engineering or physics student at a Swiss university who is passionate about bringing computer vision out of the lab and into the real world. You care about mathematical accuracy, robust code, and fast execution. Must-haves: Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, Data Science, Physics, or a related technical field at a Swiss university. Strong programming fundamentals in Python or C++. Solid foundational knowledge of image processing, linear algebra, and computer vision concepts (e.g., filtering, geometric transformations, camera matrices). Hands-on experience with core CV libraries like OpenCV and deep learning frameworks (PyTorch or TensorFlow) via academic or personal projects. Strong debugging skills and a willingness to dig into complex spatial data and unfamiliar codebases. Comfort working with ambiguity and asking clear questions. High ownership, direct communication, and a bias for action. Fluent English. Ability to work on-site in Zurich during the internship. Nice-to-haves: Experience working with infrared (thermal) imaging data, radiometric data, or multi-spectral sensor fusion. Experience with edge deployment tools and frameworks (e.g., TensorRT, ONNX, Docker, NVIDIA Jetson platform). Experience with video streaming protocols (e.g., RTSP, WebRTC) and video codecs. Experience contributing to open-source CV projects, hackathons, or publishing academic research in vision/AI. Interest in industrial IoT, predictive maintenance, automation, safety tech, or hardware-enabled SaaS. Why us? Why Us? AVIAN is building a new category in industrial fire prevention. Our product protects real facilities, real assets, and real people. The impact is immediate, measurable, and operationally critical. You will join at the right stage: product-market fit is proven, customer demand is real, and the technology now needs to scale. This is the opportunity to learn how a real-world engineering team bridges the gap between hardware sensors, edge AI, cloud systems, and industrial operations. What We Offer: On-site experience with the AVIAN team in Zurich. Direct collaboration with senior AI and software engineers. Real ownership of computer vision projects that go into production. Practical learning across the entire lifecycle of a hardware-enabled AI product. Competitive internship compensation. High-trust working environment with clear, direct feedback. International team with a clear mission and strong customer focus. Opportunity to contribute to AVIAN’s path to $10M+ ARR. The AVIAN Way: Clarity, ownership, speed. Everyone owns outcomes end-to-end. Fail fast, fix faster. We learn quickly and improve continuously. Radical transparency. Shared knowledge, open decisions, constant feedback. Global and focused. International team, customer-obsessed, real-world impact. About us Early Fire Prevention. Predictive Power. AVIAN’s Swiss-engineered computer vision algorithms provide mission-critical protection for high-risk industries - wood, recycling, paper, and beyond - by spotting process anomalies before they escalate. Our AI-driven system has already stopped thousands of fires and downtime hours in real operations, saving facilities from catastrophic loss. With the world’s largest dataset of real fire events, AVIAN delivers unmatched accuracy, instant alerts (SMS, WhatsApp, phone), and PLC-based automatic shutdowns. Beyond fire safety, our predictive maintenance analytics extend equipment lifetime, reduce downtime, and keep your facility insurable.

Responsibilities

Optimize computer vision pipelines for thermal and optical camera streams to enhance fire detection capabilities. Assist in deploying and benchmarking AI models on edge devices and cloud infrastructure while developing tools for camera calibration and data augmentation.