
At Bucket Robotics, we provide customized vision-based ML models for unparalleled precision in injection molding, casting, and surface defect detection. Our AI-powered vision systems transform your…

At Bucket Robotics, we provide customized vision-based ML models for unparalleled precision in injection molding, casting, and surface defect detection. Our AI-powered vision systems transform your…
What they do: CAD-native computer vision platform that generates physics-accurate synthetic training data from STEP/GLB/STL files and produces edge-ready inspection models
Founded: 2024
Headcount: 6 employees
Funding: Pre-Seed round announced Sep 25, 2024; reported total funding $500,000 (USD)
Founders / Execs: Matt Puchalski (Co‑Founder & CEO), Stephan Wolski (Founder & CTO)
Automated visual inspection for manufacturing quality control (injection molding, casting, surface defect detection).
2024
Robot Manufacturing
500000
Reported participation by Lightscape Partners, Pioneer Fund, and Taro Fukuyama; Crunchbase lists four investors.
“YC-backed; participation from Lightscape Partners, Pioneer Fund, and individual investor Taro Fukuyama”
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Role Overview
Bucket Robotics is hiring a Machine Learning Engineer to push the frontier of CAD-native computer vision for manufacturing. You’ll work on the core ML systems that turn 3D geometry and synthetic data into reliable, production-grade vision models deployed on factory floors.
This role is perfect for someone who gets genuinely excited about new research ideas, enjoys deep analytical thinking, and wants to see those ideas survive contact with reality—edge deployment, distribution shift, weird lighting, and all.
You’ll operate at the boundary between research and production: exploring new approaches, validating them rigorously, and shipping the ones that work.
Responsibilities
Required Qualifications
Preferred Qualifications
What We Offer
Our Values
Bucket Robotics is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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