AI Research Engineer – Data Generation & Optimization

Axelera AI, a European Series B startup, is revolutionizing the AI landscape with their innovative in-memory computing platform. They are seeking an AI Research Engineer specialized in model compression to join their dynamic team. This role focuses on developing cutting-edge compression techniques for Generative AI models, optimizing them for real-time inference across various environments.

The position offers a unique opportunity to work at the intersection of advanced machine learning, in-memory computing, and high-performance AI inference. The ideal candidate will be responsible for developing and implementing sophisticated model compression techniques while maintaining or improving model accuracy. They will work with state-of-the-art AI technologies and contribute to groundbreaking advancements in AI hardware and software optimization.

The role combines technical expertise with collaborative teamwork, as the engineer will work closely with AI researchers, software engineers, and hardware engineers. The company offers a competitive compensation package, including equity options, and provides significant growth opportunities within a fast-growing startup environment. They support relocation to Italian tech hubs (Bologna, Florence, or Milan) for international talent.

Axelera AI values diversity and inclusion, fostering an environment where innovation and continuous learning are paramount. This is an excellent opportunity for someone passionate about AI optimization who wants to make a significant impact on the future of AI applications, from edge computing to embodied AI systems.