Computer Vision Research Engineer

Reposted 22 Days Ago
Be an Early Applicant
San Francisco, CA, USA
In-Office
160K-230K Annually
Mid level
Information Technology • Internet of Things
AI Landscaping Takeoffs & Estimates
The Role
As a Computer Vision Research Engineer, you will develop state-of-the-art CV algorithms and models focusing on various techniques to automate contractor tasks. You'll work autonomously to create innovative products and ensure high coding standards.
Summary Generated by Built In

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.

Skills Required

  • Experience with computer vision algorithms and models
  • Proficient in segmentation, object detection, OCR, and one-shot learning
  • Ability to work in a fast-paced startup environment

Bobyard Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Bobyard and has not been reviewed or approved by Bobyard.

  • Healthcare Strength Benefits are described to include health, dental, and vision insurance, indicating a solid core medical offering.
  • Retirement Support A 401(k) is advertised, suggesting foundational retirement benefits are in place.
  • Career-Linked Recognition & Rewards Bonuses are tied directly to exceptional performance across roles, signaling rewards linked to impact.

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The Company
HQ: San Francisco, California
30 Employees

What We Do

Construction is one of the largest industries in the world, but it is also one of the least technologically innovative spaces. Conducting fast and accurate cost estimates is a massive pain point. Bobyard automates the construction takeoff process with CV and NLP models to make cost estimates 10x faster while eliminating mistakes.

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