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Computer Vision Research Engineer

BobyardSan Francisco🇺🇸United StatesPosted Nov 20, 2025

Why this role stands out

This role offers an exceptional opportunity to drive innovation in computer vision for the construction industry, allowing you to build and ship impactful models with significant autonomy. You'll thrive here if you're a skilled CV/ML engineer with strong product sense, eager to develop deep expertise and own end-to-end pipelines in a fast-paced, collaborative environment. Apply now to shape the future of construction technology!

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeOn Site
LocationSan Francisco, United States
Posted11 months ago
Computer VisionDeep Learning

Job description

Position Overview

Join the team building computer vision applications for the construction trades.

Contractors spend dozens of hours per project doing takeoffs by hand. We're automating that — with models that need to perform reliably on messy, real-world drawings.

You'll have a lot of autonomy to design, execute, and iterate. We move quickly, and you'll build deep expertise in the models you ship. We're looking for strong CV/ML engineers with good product judgment who are comfortable both designing solutions and doing the hands-on work to ship them.

Responsibilities

  • Build strong CV models: detection, segmentation, OCR, reasoning over construction drawings. Accuracy matters — mistakes can cost a customer real money.

  • Own end-to-end pipelines: data ingestion, labeling, training, eval, and low-latency inference.

  • Improve performance across accuracy, robustness, and latency as we handle a wide range of drawing formats.

  • Ship to production — work closely with fullstack and product to get models into features customers use daily.

  • Dig into real customer data to find and fix failure modes.

  • Stay current with the field and apply what's useful quickly.

Desired Attributes

  • High ownership — you take responsibility for model performance without needing to be told what to fix

  • Strong CV + deep learning background — you've trained and shipped models (segmentation, detection, document AI, or vision-language)

  • Experience putting ML into production with real reliability requirements

  • Comfortable with messy, real-world data — scanned, handwritten, imperfect

  • Practical mindset — you read the research, but your focus is on shipping working code

  • Comfortable in a fast-moving, early-stage environment

A note on pace

We ship weekly, and priorities move as we learn from customers. Requirements are often incomplete when work starts, and you'll be expected to shape them. If that pace excites you, you'll fit in well.

Benefits

  • Competitive salary plus equity options

  • Health, dental, and vision coverage

  • Catered lunch in the office

  • $70 a month toward your commute

  • Team happy hours and events

  • Build a category-defining company with a small, driven team

Come build with us!

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