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Salary
$160k – $230k per year
Location
In office (San Francisco)
Visa
H-1B filings in 12 months: 5 · for this role: 4
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 4, 2026. First seen by Alion on Nov 20, 2025. Bobyard scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Bobyard is a construction technology startup based in San Francisco that builds AI takeoff and estimating software, using computer vision and language models trained on construction drawings to measure and count materials for bids. Backed by Primary, Pear and 8VC, it serves landscaping, electrical, plumbing, mechanical, finishes and paving contractors, with an in-house research team building trade-specific models and a new sales push in the UK. It hires account executives, sales development representatives, sales engineers, forward deployed and frontend engineers, product managers and designers, data analysts, recruiters and operations managers.

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

Comp Philosophy

Cash for stability. Bonus for performance. Equity for ownership. Your package reflects your role, your experience, and what you deliver.

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