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Computer Vision Research Engineer

Bobyard

San Francisco, CAFull-time$160–230K/yrPosted 10mo agoStill listed 2 days ago

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At a glance

Compensation
$160–230K/yr
Location
San Francisco, CA
Schedule
Full-time
Work Authorization
Not specified

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Job overview

Bobyard is building computer vision applications that automate construction drawing takeoffs. The Computer Vision Research Engineer will design, execute, and iterate on models for messy real-world drawings, with autonomy and a focus on reliable performance. The role spans model development, end-to-end ML pipelines, production deployment, and customer-data analysis, working closely with fullstack and product teams in a fast-moving environment.

Skills & qualifications

RequiredNice to have

Skills

Computer VisionDeep LearningModel TrainingModel DeploymentSegmentationObject DetectionDocument AIVision-Language ModelsProduction MLModel ReliabilityResearch ApplicationProduct JudgmentOwnershipWorking With Messy DataShipping Working CodeRequirements Shaping

Qualifications

Experience Putting ML Into Production

Benefits

Medical Insurance
Dental Insurance
Vision Insurance

Full 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

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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