# Computer Vision Research Engineer Intern at Bobyard

- Company: Bobyard
- Location: San Francisco, CA
- Type: Internship · Internship
- Posted: 2026-10-05
- Apply: https://jobs.ashbyhq.com/bobyard/ae7aa71b-5ed2-4066-b173-fc0618f2ed8f/application?embed=true
- Page: https://newgrad.ai/jobs/computer-vision-research-engineer-intern-0ad37279

## Summary by newgrad.ai

What you'll do:

- Develop computer vision models for construction drawing analysis.
- Manage data pipelines, model training, and performance evaluation.
- Collaborate with engineering teams to deploy models into production.
- Investigate real-world data to identify and resolve model failures.

What they're looking for:

- Current BS, MS, or PhD student in a technical field.
- Proficiency in Python and deep learning frameworks like PyTorch.
- Experience with computer vision through research, coursework, or projects.
- Ability to work onsite in San Francisco for 12-16 weeks.

Pay and perks:

- Hourly pay of $55.

## 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.

As a CV/ML Engineering Intern, you'll work on real production problems alongside our ML team, not a side project. You'll own a scoped piece of work end-to-end, get hands-on mentorship from experienced engineers, and see your models reach customers who use them daily.

### Responsibilities

- Build and improve CV models for detection, segmentation, or OCR on construction drawings, with guidance from a mentor on the ML team
- Contribute to our pipelines: data preparation, labeling workflows, training runs, and evaluation
- Run experiments, measure results, and clearly communicate what worked and what didn't
- Dig into real customer data to find failure modes and propose fixes
- Work with fullstack and product engineers to help get your work into production
- Read relevant research and test ideas that could improve our models

### Desired Attributes

- Currently pursuing a BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field
- Solid foundation in deep learning and computer vision through coursework, research, or projects
- Hands-on experience training models in PyTorch (or similar), whether in class, research, a prior internship, or personal projects
- Strong Python skills
- Curiosity about messy, real-world data: scanned, handwritten, imperfect
- High ownership: you ask good questions, then run with the answers
- Bonus: experience with document AI, OCR, or vision-language models

### Details

- 12-16 weeks, full-time, in person in the SF Bay Area
- Paid internship: $55/hr
- Strong interns may be considered for full-time roles

We value learning speed and follow-through. If you want to build models that customers trust with high-stakes decisions, we'd love to talk.

### 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.

From Bobyard's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.

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More new-grad and intern roles: https://newgrad.ai/llms.txt