Senior Multimodal AI Engineer

Are you passionate about pushing the boundaries of Generative AI and multimodal learning?

We’re looking for a Senior Multimodal AI Engineer to lead the development of cutting-edge models that integrate text, vision, and audio for high-performance inference across diverse deployment environments—from edge devices to server-side systems.

What You’ll Be Doing:

• Designing and optimising multimodal AI models for real-time, scalable inference.
• Collaborating with cross-functional teams to integrate models into advanced hardware platforms.
• Applying the latest techniques in transformers, diffusion models, and model compression.
• Driving innovation in Generative AI and contributing to the evolution of our AI stack.
• Ensuring robust deployment and continuous improvement of models in production.

What You Bring:

• 5+ years of experience in multimodal model development (text, image, audio).
• Strong skills in deep learning frameworks like PyTorch, TensorFlow, or JAX.
• Expertise in NLP, computer vision, and speech processing.
• Familiarity with model optimisation techniques (quantisation, pruning, distillation).
• Experience with distributed systems, HPC, or in-memory computing platforms.
• Bonus: Experience deploying models on edge devices or using frameworks like ONNX or TensorRT.

Location: This role is based in Italy, with relocation support available to Bologna, Florence, or Milan — or you can work fully remotely from anywhere within Italy.

This is a unique opportunity to work at the intersection of AI research and high-performance computing, contributing to real-world applications in a fast-paced, innovation-driven environment.