Computer Vision Research Engineer

Position Overview Join the AI lab bringing visual intelligent applications to the construction trades. 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. Comp Philosophy We are proud to offer competitive, top-of-market compensation because we want to celebrate the dedicated people who ship amazing work and drive our success. Our individual compensation is thoughtfully tailored based on your role, experience, and contributions, alongside performance-based rewards.