Bobyard
Computer Vision Research Engineer
San Francisco
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hirly's read of this role
- Seniority
- Mid level
- Stated salary
- $160,000 – $230,000 per year
- Country
- US
- Work mode
- On-site / unstated
- First seen by hirly
- 2 Sept 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
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
This is a full-time, in-person role in the SF Bay Area. We value learning speed and follow-through. If you're excited to build models our customers can trust with high-stakes decisions, we'd love to talk.
Levels are based on scope and ownership — we can figure out the right fit together. Salary range is determined based on level.
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.
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