Artificial Intelligence Researcher

Responsibilities:

• Conduct applied research in machine learning, deep learning, reinforcement learning, and related areas relevant to industrial automation
• Prototype, test, and evaluate novel AI algorithms rapidly, ensuring feasibility for real-world deployment
• Publish and present research results in leading conferences and journals while contributing to Festo’s internal knowledge base
• Collaborate closely with engineering, embedded AI, and software teams to transfer research into practical, scalable applications
• Work with global and academic partners to advance research collaborations and maintain research excellence
• Benchmark and validate AI models through experiments, simulations, and real-world datasets, ensuring robustness and performance
• Contribute to fast-turnaround prototypes that demonstrate business value and support short time-to-market cycles

Qualifications:

• Master’s or PhD in Artificial Intelligence, Machine Learning, Robotics, Computer Science, or a related field
• Proven experience conducting applied research, ideally supported by peer-reviewed publications
• Strong programming skills in Python and experience with ML frameworks such as PyTorch or TensorFlow
• Experience translating theoretical research into practical, scalable solutions or prototypes
• Strong analytical, problem-solving, and communication skills; ability to work in a collaborative, cross-functional environment