
Loop is purpose-built verticalized AI for logistics. The data models, the domain intelligence, the infrastructure — all of it built to unlock value trapped in the operations of the physical economy.…

Loop is purpose-built verticalized AI for logistics. The data models, the domain intelligence, the infrastructure — all of it built to unlock value trapped in the operations of the physical economy.…
What they do: Logistics payments platform that digitizes freight invoicing and payment workflows using NLP and computer vision
Customers: Shippers, brokers, and 3PLs (enterprise supply-chain companies)
Funding: $35M Series B announced Oct 3, 2023; total reported funding ~$65M
Headcount (reported): 286 employees
Freight payments, invoice audit and reconciliation for logistics and supply-chain operations
Logistics / Payments / Supply Chain
$60,000,000
$40M Series A plus $20M financing line
$35,000,000
“Backed by institutional and notable investors including Index Ventures, J.P. Morgan Growth Equity Partners, Founders Fund, Expa (Garrett Camp), and other strategic/backer investors”
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About Loop Loop is the data platform for the global supply chain. Logistics runs on messy, unstructured data—trapped in PDFs, emails, and legacy systems. We use AI to structure this chaos, creating a "source of truth" that automates payments and audits for the Fortune 100.
We are building the financial nervous system for a $100 trillion physical economy. Our technology ensures freight moves efficiently and carriers get paid instantly.
Backed by Founders Fund, Index Ventures and 8VC, we are scaling rapidly. We are looking for engineers ready to deploy production AI that powers the physical economy.
About the Internship Program This role has two tracks: AI and fullstack engineering. Most AI stays in the browser. Ours moves atoms. You aren't just building features; you are building the autonomous brain for the Fortune 100’s global supply chain.
This program is designed to compress 12 months of learning into 12 weeks by throwing you into the deep end of production AI systems on Day 1. Instead of sandboxed projects, you get to solve real problems and impact customers directly. This program demands intense investment, but by the end, you will perform as a strong entry-level engineer jumpstarting your career.
Below is a typical internship schedule
About You We're not just looking for strong academic performers. We're looking for people who are genuinely driven to build things and go deep on hard problems. If the following resonates, you belong here:
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Week 1 (Onboarding): Deep dive into tools and domain. You will ship code to production on Day 1 and fully grasp our dev loop by Friday.
Week 2-4 (Project 1): You will finish your first project, which matches a typical entry-level engineer’s initial project.
Week 5-8 (Project 2): Your second project will have more ambiguity, and you will take on more autonomy in completing this project.
Week 9-11 (The stretch goal): Your third project comes with bigger scope and more ambiguity, typically expected of mid-level engineers.
This is the stretch goal. We do not expect everyone to finish this project. But we expect you to try your best!
Week 12 (Demo & reflection): You present your work to the exec team and engineering org, detailing the technical tradeoff and business impact. You capture your experience as an engineering blog.