AI Technology Student Assignment: Production Deployment of Neural Network Architecture at Signify

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

This is an exciting job opportunity for you to light the way as an AI Technology Researcher in Eindhoven with Signify. You will continue to develop the following research assignment:

Assignment Scope

Phase 1: Model Familiarization

• Review and understand the existing AI architecture and neural network model.

• Bring the current model online and validate its functionality.

Phase 2: Model Generalization

• Expand the model to improve robustness under varying office conditions.

• Define configurations for collecting additional training data.

• Collect and preprocess new datasets.

• Retrain the model for generalization.

• Validate performance on unseen setups and report quality metrics, referenced against existing rule-based sensing.

Phase 3: Production Deployment Options

• Propose concrete electronic design and deployment strategies for hosting the model in a production environment.

• Evaluate options such as:

  • Cloud-based inferencing

  • Edge device inferencing

  • Dedicated AI chipsets

• Consider trade-offs in latency, cost, scalability, and maintainability.

More about you

• Strong background in AI/ML engineering.

• Hands-on experience with:

  • Neural network training and optimization

  • TensorFlow or similar frameworks

  • Deployment of AI models on real-world devices or production environments

• Ability to work with sensor data and design practical solutions for embedded or cloud systems.

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.