Maximilian Sieb

Member Of Technical Staff at OpenAI

San Francisco, California, United States
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Summary

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Senior
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Top School
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.
code8 years of coding experience
job7 years of employment as a software developer
bookTechnischen Universität Darmstadt
bookMaster of Science - MS Robotics, Master of Science - MS Robotics at Carnegie Mellon University
languagesGerman, English, Spanish, Chinese
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Stackoverflow

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Github Skills (88)

python10
deep-learning10
gpu10
in-app-purchase10
gpu-acceleration10
intel10
acceleration10
numpy10
sdk10
neural-network10
computer-vision10
tensor10
payment-methods10
tensorboard10
tensorflow10

Programming languages (6)

C++ScalaGoHTMLJupyter NotebookPython

Github contributions (5)

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msieb1/msieb1.github.io

Dec 2018 - Sep 2024

Contributions:7 PRs, 206 pushes, 6 branches in 5 years 10 months
msieb1/visual-entity-graphs

May 2019 - Jul 2019

Contributions:17 commits, 15 pushes, 1 branch in 2 months
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Maximilian Sieb - Member Of Technical Staff at OpenAI