Computer Vision Research Engineer

Position Overview Bobyard solves non-trivial CV problems that move millions of dollars. Contractors burn dozens of hours per project doing takeoffs by hand. We automate it — with models that have to be better than human, on messy real-world drawings. You’ll have founder-level autonomy to design, execute, and iterate. We move at startup speed — no research silos, no “publish and forget.” You’ll become the world’s leading expert on the models you ship. We want world-class ML engineers with product taste and the ability to go heads down and produce exceptional systems. Responsibilities Build SOTA CV models : Detect, segment, OCR, and reason over construction drawings. Accuracy isn’t academic — one mistake costs a customer millions. Own end-to-end pipelines : Data ingestion, labeling, training, eval, and low-latency inference. If it doesn’t run in prod, it doesn’t count. Scale performance : Accuracy, robustness, latency. Our models face 10,000+ drawing formats and they need to just work. Ship to production : Work closely with fullstack and product to integrate models into features customers use daily. No throwaway notebooks. Attack failure modes : Dig into real customer data. Find where we break, why we break, and fix it fast. Apply research pragmatically : Stay current with the field. Take what works, ship it next week, measure impact. Desired Attributes Founder-level drive : You own model performance like it’s your company. No one tells you what to fix — you already know. Deep CV + DL chops : You’ve trained models that actually shipped. Segmentation, detection, document AI, vision-language — you’ve been in the trenches. Production killer : You’ve put ML into real products with real SLAs. You know the gap between 90% and 99.9% and how to close it. Messy data mindset : Real drawings are crooked, scanned, handwritten, and ugly. You love that. You turn noise into signal. Research-minded, execution-focused : You read papers, but you ship code. You bias to impact over elegance. Startup work ethic : This isn’t a research lab or a cushy big-tech role. We’re at war with manual takeoffs in a $13T industry. You want that. Learning machine : New architecture on Monday, beating our baseline by Friday. You navigate unknown problem spaces fast. This is full-time & in-person in the SF Bay Area. Learning rate and dedication beat pedigree. If you can prove you’ll ship models our customers trust with million-dollar bids — at the speed and quality the market demands — we want you.

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