AI Research Engineer – Data Generation & Optimization (all seniority levels)

Axelera AI, a European Series B startup, is revolutionizing the AI landscape with their innovative in-memory computing platform. They specialize in creating AI hardware and software optimized for high-performance inference, serving cutting-edge use cases across high-end edge computing, embodied AI, and server-side AI deployments.

The AI Research Engineer role focuses on data generation, selection, and optimization, playing a crucial part in advancing their platform's capabilities. The position involves creating high-quality datasets, selecting optimal data for training cutting-edge AI models, and optimizing data pipelines to maximize performance and scalability of AI solutions.

The ideal candidate will work closely with AI researchers and engineers to create sustainable data processes that enable continuous improvement in AI models. Key responsibilities include developing innovative techniques for synthetic data generation, implementing data selection strategies, and building optimization systems that create a self-sustaining data generation and selection loop.

Requirements include strong programming skills in Python, experience with data-centric AI approaches, and familiarity with machine learning frameworks. The role offers significant opportunities for personal and professional growth, with a chance to influence both product direction and technology strategy. The position is based in Italy, with options to work from Milan, Florence, or Bologna, and includes relocation support for international talent.

Axelera AI offers a competitive compensation package including salary, equity options, and comprehensive benefits. They foster a collaborative, fast-paced environment that values innovation and continuous learning, making it an ideal place for those passionate about shaping the future of AI technology.