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The Posting
ABOUT US
Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers from leading AI labs, tackling some of the most challenging problems at the intersection of AI, robotics, and embodied intelligence. If you're excited about pushing the boundaries of what's possible with Physical AI, you'll have the opportunity to make an outsized impact from day one.
RESPONSIBILITIES
- Develop data ETL, data lake and other data toolings that processes hundreds TBs of data
- Develop use friendly frontend and backend systems for data visualization to increase efficiency for the data team and AI researchers
- Real Systems, Not a Sandbox: Work in the same repositories, on the same clusters, and against the same data as the rest of the technical staff, not a parallel toy version.
- A Deliverable That Outlives You: Ship one artifact the team keeps using — a software, or a tool — and write up what you found and what to try next.
REQUIREMENTS
- A Bachelor's degree or equivalent hands-on experience in Computer Science, Engineering, or a related technical field, or you are currently working toward one.
- Strong object oriented programming language skills and understanding.
- Familiar with web application development.
- Strong sense of using AI as a productivity tool.
NICE TO HAVE
- You have built or maintained production-grade applications.
- You have worked with AWS, GCP or other popular cloud platform.
- You are familiar with CI/CD pipeline.
- You have self-directed projects, or competitive programming results that show how quickly you pick things up.
- You can work hybrid from Toronto for the duration of the internship.
Facts
- Source
- Ashby
- External id
- 84dfad5c-d790-4c4a-9411-40b676b1abbb
- Location
- Toronto, ON, Canada
- Remote
- Hybrid, from the posting
- Employment
- Part time
- Posted
- 22 Oct 2026, 21:00
- First seen
- 23 Oct 2026, 00:42
- Last seen
- 2 Nov 2026, 04:10
- Status
- Not yet added
- Posting id
- 9acbb8a1-1454-50c4-84ce-a9dfbf944e30
