We are a global leader in science-driven technology using real-world evidence to provide innovative healthcare solutions. Our Discover and Substantiate applications, powered by the Aetion Evidence Platform, are used to evaluate the safety, effectiveness and value of medications, delivering better outcomes to patients, medical professionals, and clients.

As a Generative AI Specialist, you will be responsible for working with large language models. You will play a critical role in developing, fine-tuning, and deploying these models to address a wide range of applications and industries.

You reinforce one of our interdisciplinary autonomous systems teams as a machine learning engineer/software engineer (m/f/x). In the team, you work on putting End2End AI solutions into practical use across multiple disciplines; ensuring the quality and reliability expected by Mercedes-Benz at all points is especially challenging.

This internship attempts to improve the performance of transformer-based AI models by investigating how one may leverage model compilation and graph rewriting to maximize hardware efficiency and performance. A deep dive into various AI model optimization techniques, such as device placement, subgraph fusion, dispatching, and others, will be studied. These will be leveraged to effectively enable performance gains across different AI model topologies and tasks.