Bryan Anenberg is a Senior Research Engineer on the Google DeepMind Robotics team with 11 years of experience building real-time computer vision and large-scale machine learning systems. He specializes in designing, optimizing, and deploying neural networks for production, having led end-to-end ML workflows from research prototypes to field-validated deployments at Anduril and Meta. His work spans multimodal and generative AI for perception and avatar systems, with practical expertise in multi-object tracking, real-time inference, and system integration for robotics and AR/VR. Bryan combines deep academic training from Stanford in Computer Science and Engineering Physics with a relentless focus on shipping robust, scalable models in safety-critical domains. Known for bridging research innovation and engineering rigor, he excels at turning novel algorithms into deployable products that perform under real-world constraints. Outside research, he maintains a public portfolio of projects and writing at anenberg b.com that reflects his interest in applied robotics and ML systems engineering.
11 years of coding experience
8 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at Stanford University
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Bryan Anenberg - Senior Research Engineer at Google DeepMind