• Anish (CTO) built machine learning algorithms for one of the largest satellite datasets in the world at General Atomics, and was founding machine learning engineer at Ship Angel
• Shan (CEO) worked on next-gen hardware at Microsoft (HoloLens 2), Apple (Vision Pro), and designed most of the cameras on Skydio’s latest generation X10 drone, spending months working onsite with manufacturers across the US and Asia

About The Role 👨‍🚀 As a Full Stack ML Engineer Intern, you’ll help us build the ML and AI infrastructure behind our quoting engine, vendor selection models, and internal tooling. You’ll work closely with our founders and high impact team to bring data and models into production. This will be a 3-6 month internship, and may be converted to a full time position at the end of the internship.

What You’ll Do

• Build and maintain data pipelines for supplier intelligence, RFQ data, and quoting behavior
• Collaborate on training and serving models for pricing, matching, and insight extraction
• Integrate ML models with user-facing product features (React + Python + API layers)
• Build tools for model evaluation, prompt tuning, and observability
• Contribute to AI-agent workflows using retrieval, embedding search, and structured chaining

What We’re Looking For

• Prior experience building ML-driven applications through internships (research or corporate), startups, or advanced coursework
• Strong foundation in Python and ML frameworks (scikit-learn, PyTorch, etc.)
• Familiarity with full-stack workflows frontend (React), backend (FastAPI), deployment (AWS)
• Bonus: Experience with VespaDB, LangChain, and/or RAG architectures
• Bonus: Familiarity with tools like Cursor and Claude Code
• Super Bonus: Experience building physical things (hardware design, testing, validation, etc.)

If you’re somebody who loves solving open ended problems and building software to shape the physical world, Vendra is the place for you.