Summary
Maximilian Sieb is a multidisciplinary AI researcher and engineer with 8 years of experience building production ML systems and research-driven models across robotics, perception, and large language models. He has contributed to cutting-edge teams at OpenAI, Google DeepMind, Character.AI, and Covariant, shipping RL-based grasping systems and a voxel-based occupancy network trained from simulation that reached internal SOTA and production use. Comfortable spanning research and product, he has led pretraining and modeling efforts as well as ML pipeline and agent development for LLM applications. His background in robotics (MS from Carnegie Mellon) informs a systems-level view of perception, control, and learning that helps turn novel ideas into deployable solutions. Colleagues describe him as relentlessly curious and improvement-oriented—he seeks the whole picture rather than optimizing a single component. Based in San Francisco, he blends deep technical rigor with practical product impact across both research and engineering roles.
8 years of coding experience
7 years of employment as a software developer
Technischen Universität Darmstadt
Master of Science - MS Robotics, Master of Science - MS Robotics at Carnegie Mellon University
German, English, Spanish, Chinese