Computer Vision Research Engineer - Intern
At a glance
Junior AI Research role at Bobyard. San Francisco · full-time.
Pay not stated Research Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and refine models that detect, segment or read text in construction drawings
- Help prepare data, support labeling, run model training and evaluate results
- Test model ideas, track experiment outcomes and explain what succeeded or fell short
- Study customer examples to spot model failures and suggest ways to address them
- Work with product and fullstack engineers to move your work into production
What you bring
- You are pursuing a bachelor's, master's or doctoral degree in computer science, electrical engineering or a related field
- You have learned deep learning and computer vision through coursework, research or projects
- You have trained models using PyTorch or a comparable framework and can write Python confidently
Who this fits
This internship suits a student who takes ownership, asks thoughtful questions and follows through on answers. It runs full-time for twelve to sixteen weeks, in person in the San Francisco Bay Area.
From the employer
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.
Come build with us!