About Signify
Through bold discovery and cutting-edge innovation, we lead an industry that is vital for the future of our planet: lighting. Through our leadership in connected lighting and the Internet of Things, we're breaking new ground in data analytics, AI, and smart solutions for homes, offices, cities, and beyond.
At Signify, you can shape tomorrow by building on our incredible 125+ year legacy while working toward even bolder sustainability goals. Our culture of continuous learning, creativity, and commitment to diversity and inclusion empowers you to grow your skills and career.
Join us, and together, we’ll transform our industry, making a lasting difference for brighter lives and a better world.
More about the role
We are looking for a motivated intern to support the development of a machine vision and AI-based inspection platform for industrial applications.
This hands-on internship focuses on building real-world systems combining backend development, computer vision, machine learning, and user-facing tools. The role connects frontend and backend development, making it suitable for backend developers interested in UI systems and frontend developers looking to gain experience with AI, data pipelines, and backend engineering.
The intern will also have the opportunity to contribute to an advanced robotics platform integrating machine vision, kinematics, and AI. The position is available part-time or full-time (minimum 24 hours/week).
Key Responsibilities
- Develop Python backend components for image processing and ML pipelines.
- Build computer vision workflows and work with real-time camera data.
- Integrate and optimize ML inference systems (ONNX, TensorRT).
- Support ML deployment and performance improvements.
- Contribute to frontend tools, dashboards, visualizations, and UI components.
- Integrate frontend applications with backend APIs and monitoring systems.
Required Qualifications
- Currently pursuing a degree in Computer Science, AI, Robotics, Engineering, or a related field.
- Strong Python programming skills.
- Understanding of computer vision, image processing, and data pipelines.
- Knowledge of ML inference and deployment workflows.
- Experience with Git and collaborative software development.
Preferred Qualifications
- Experience with PyTorch or similar ML frameworks.
- Exposure to real-time or image-based systems.
- Frontend experience or interest (React, Dash, etc.).
- Familiarity with REST APIs (e.g., FastAPI) and frontend-backend integration.
- Interest in industrial AI, robotics, and applied machine learning.
- Knowledge of robotics fundamentals, reinforcement learning, or simulation tools (MuJoCo, IsaacSim, Gazebo) is a plus.
Candidate Profile
We are looking for curious, hands-on engineers who enjoy working across software, AI, and user-facing systems. You should be solution-oriented, eager to learn, comfortable solving complex problems, and focused on writing clean, maintainable code.
What You Will Gain
- Experience building real-world AI and computer vision systems.
- Exposure to production ML deployment workflows.
- Experience with frontend-backend integration.
- Growth in backend engineering, machine learning, robotics, and visualization tools.
Everything we’ll do for you
You can grow a lasting career here. We’ll encourage you, support you, and challenge you. We’ll help you learn and progress in a way that’s right for you, with coaching and mentoring along the way. We’ll listen to you too, because we see and value every one of our 27,000+ people. We believe that a diverse and inclusive workplace fosters creativity, innovation, and a full spectrum of bright ideas. With a global workforce present in 70+ countries, we are dedicated to creating an inclusive environment where every voice is heard and valued, helping us all achieve more together.
Come join us, and together we can light up the future.