Job Summary:
Bobyard is a company focused on solving complex computer vision problems that streamline construction processes. The role involves designing and implementing state-of-the-art models to automate project takeoffs, ensuring high accuracy and performance in real-world applications.
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.
Qualifications:
Required:
• Build SOTA CV models: Detect, segment, OCR, and reason over construction drawings.
• Own end-to-end pipelines: Data ingestion, labeling, training, eval, and low-latency inference.
• Scale performance: Accuracy, robustness, latency.
• Ship to production: Work closely with fullstack and product to integrate models into features customers use daily.
• 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.
• Founder-level drive: You own model performance like it’s your company.
• Deep CV + DL chops: You’ve trained models that actually shipped.
• Production killer: You’ve put ML into real products with real SLAs.
• Messy data mindset: Real drawings are crooked, scanned, handwritten, and ugly.
• Research-minded, execution-focused: You read papers, but you ship code.
• Startup work ethic: This isn’t a research lab or a cushy big-tech role.
• Learning machine: New architecture on Monday, beating our baseline by Friday.
Company:
AI cost estimates for construction Founded in 2023, the company is headquartered in Menlo Park, USA, with a team of 51-200 employees. The company is currently Early Stage.
