Jacob Zietek is an engineering fellow and robotics-focused machine learning engineer based in San Francisco with eight years of experience building embodied AI and visuomotor systems. He’s been a first or early ML hire multiple times—co-leading robot foundation model work at Persona AI and shipping vision and VQA pipelines at Armada—plus he’s founded a stealth startup exploring scalable robot learning. Jacob’s work spans research and product: from training robot brains on real-world UR5e data and integrating gaze-grounded language, to building consumer-facing healthcare ML at Amazon and RL pipelines for autonomous systems at Shield AI. He combines hands-on model engineering with startup grit and VC exposure (now at Andreessen Horowitz), and has a track record of turning multimodal research prototypes into deployable systems. An under-the-radar strength is his ability to bridge academic rigour (Purdue research and TensorFlow Model Garden contributions) with fast-paced product development for humanoid tool use in heavy industry.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Purdue University
High School Diploma, High School Diploma at Farmingdale Senior High School
Contributions:1 review, 20 commits, 2 PRs in 9 months
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Jacob Zietek - Engineering Fellow at Andreessen Horowitz