Full-Stack ML Engineer for AI-Driven Manufacturing

Vendra (YC S24); San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Vendra is building an AI-native operating system for manufacturing procurement and supply chain. As a Full Stack Machine Learning Engineer, you will own production ML workflows and work across frontend, backend, APIs, data systems, and AI workflows.

You will collaborate directly with the founders to move fast and ship high-quality software. This role targets engineers who thrive in fast-moving startups, with experience shipping real products, and who can balance ML, UI, and infrastructure.

Qualifications

• 1+ years of shipping real products with ML systems.
• Proven ability to ship quickly with ownership.
• Strong full-stack skill across ML, frontend, and backend.
• Willingness to learn and adapt in a fast-moving startup.

Responsibilities

• Own production workflows across marketplace, supplier portal, internal tools, or AI workflows.
• Ship improvements used directly by customers, suppliers, or the Vendra team.
• Collaborate with founders to shape product lines and engineering improvements.
• Turn ML experiments into reliable production features.

Skills

Machine Learning

Full Stack

Python

React/TypeScript

APIs/Data Systems

Tools

React

Next.js

TypeScript

Node.js

Python

Job description

Vendra is building an AI-native operating system for manufacturing procurement and supply chain. As a Full Stack Machine Learning Engineer, you will own production ML workflows and work across frontend, backend, APIs, data systems, and AI workflows.

You will collaborate directly with the founders to move fast and ship high-quality software. This role targets engineers who thrive in fast-moving startups, with experience shipping real products, and who can balance ML, UI, and infrastructure.