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.
- Comp Philosophy We structure compensation to be simple: cash for stability, variable for performance, equity for ownership . Everything ties directly to what you ship and the impact you drive .
