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Computer Vision Research EngineerBobyard, Inc • United States
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Computer Vision Research Engineer

Bobyard, Inc
  • US
    United States
  • US
    United States
Postuler Maintenant

À propos

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
Compensation is made of:
cash for stability, variable for performance, equity for ownership .
Everything ties directly to
what you ship and the impact you drive .
  • United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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