Work with engineering and research teams to build production systems: train and evaluate vision-language models, build full-stack features and dashboards, deploy ML/infrastructure, create labeling tools, and optimize video encoding for construction wearable camera data.
About Ironsite
The Role
Location & Compensation
Compensation
Construction is one of the most complex and labor-intensive industries, spending $7 trillion annually on labor, but productivity losses cost $1.6 trillion per year due to outdated management tools.
Ironsite leverages wearable cameras combined with human labeling and AI vision language models to drive on-site productivity, safety & training for crafts workers. We put cameras on construction workers' hard hats and vests to analyze what's actually happening on job sites.
We help teams cut labor costs, improve safety, and finish projects faster. We have captured ~50,000 hours of construction footage across 7 states and just partnered with the nation's #2 hard hat manufacturer.
We’ve raised over $13M from 8VC, South Park Commons, and 30+ leading operators and technologists, including Eric Glyman (Ramp), Jeff Dean (Google), and Scott Wu (Cognition).
As an Intern on the software team at Ironsite, you’ll work directly with our engineering and research teams to build real systems that ship to production this summer.
Depending on your strengths and/or interests, you may work on:
- AI & Research: Training and evaluating vision-language models on real-world construction data
- Full-Stack Engineering: Developing product features across frontend and backend systems for customers and internal tooling
- Infrastructure: Deploying configs from research to production, or improving upload capacity
What You Might Build
• Model evaluation pipelines for spatial intelligence across object permanence, understanding, and temporal segmentation
• Dashboards that give field supervisors visibility into every device deployed across a jobsite
• Internal labeling tools used by hundreds of human taggers to annotate the world's largest first-person construction dataset
• Video encoding frameworks that improve starlink capacity
What We’re Looking For
- Currently pursuing a degree in Computer Science, Math, Engineering, AI/ML, or a related field
- Strong programming skills
- Python for AI & Research
- JS/TypeScript for Full-Stack Engineering
- Systems Programming Languages - C, C++, Rust, etc for Infrastructure
- Experience with at least one of:
- Vision Language Models (VLMs)
- Full-stack or backend development
- Data systems, ML infrastructure, Networking
- Curious, scrappy, and excited to build in the real world
- San Francisco Bay Area (on-site)
- Competitive salary
- Daily meals & commuter benefits
- Full benefits including health, dental, vision
The base pay range for this role is $50 – $100 per hour.
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