# Founding Engineer at Ultralytics

Ultralytics is hiring a Founding Engineer in New York, United States. Level rates it Uses AI ●●○○; you can [apply on Level](https://jobsbylevel.com/go/b64ad9ff-1dab-4c0b-a369-f7c967a92b66?utm_medium=ai-agent).

AI Level 2, AI centrality 45 out of 100. Remote (New York).

## Details

- Company: [Ultralytics](https://jobsbylevel.com/companies/ultralytics)
- AI level: AI Level 2 (score 45 out of 100)
- Location: Remote (New York)
- Posted: October 12, 2026
- Apply: https://jobsbylevel.com/go/b64ad9ff-1dab-4c0b-a369-f7c967a92b66?utm_medium=ai-agent

## Prepare for this job

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## Description

About Ultralytics: At Ultralytics , we commit to relentless innovation in the AI space and seek team members who resonate with our ambition to produce the world's best YOLO AI models . If you're obsessed with AI, eager to make an impact on the world, and thrive in dynamic, high-intensity environments, we invite you to apply for a position on our team. 🌍 Join the team powering the future of vision AI Hello, hola, 你好, こんにちは, नमस्ते, hallo, bonjour! Thanks for stopping by — we know your time is valuable, so here's what makes Ultralytics special. ⚡ Who we are At Ultralytics , we're on a mission to simplify AI for everyone . As the creators of the world's leading Ultralytics YOLO models , we empower millions of developers, researchers, and companies worldwide to build state-of-the-art computer vision applications. Following our $30M Series A round , we're expanding rapidly across our global hubs in New York London, Madrid, and Shenzhen . This is an opportunity to join a fast-scaling, high-performance team that's redefining the future of vision AI — where ambition meets impact, and ideas become reality. We move fast. We build boldly. We execute with purpose. And we do it together. 💼 About the role As Founding Engineer , you'll help establish our New York engineering team, shipping features across the YOLO ML/computer vision surface and the platform around it. You'll connect model capabilities with usable interfaces, reliable APIs, and production infrastructure. “Founding” means end-to-end ownership , not a queue of assigned tickets. You'll define scope, make architectural decisions, write and review code, deploy changes, and own production outcomes. This is a hands-on senior engineer with tech-lead responsibility, not a people-management requirement. You'll use AI coding tools daily and coordinate with colleagues in the UK, Spain, and China through clear plans, async communication, and accountable delivery. 🚀 What you'll do Strategy & execution Own a feature area from requirements and architecture through implementation, testing, deployment, and iteration. Ship ML/CV capabilities alongside full-stack interfaces, backend services, and infrastructure, using our documentation and guides . Use Copilot or Codex routinely, validating generated code for correctness, security, and maintainability. Cross-functional collaboration Break ambiguous work into milestones, align dependencies across locations, and communicate decisions and blockers asynchronously. Balance customer needs, technical trade-offs, and commercial deadlines with Product and Engineering. Representation & leadership Lead design and code reviews, unblock engineers, and set standards for testing, observability, and production reliability. Strengthen our open-source ecosystem through maintainable contributions, technical documentation, and engineering knowledge-sharing. 🧠 Skills and experience Core requirements Senior-to-principal/distinguished-level industry delivery, with sustained ownership of feature areas and tech-lead-level accountability. Shipped ML/AI and computer vision work, with practical Python and PyTorch proficiency beyond coursework or research. Full-stack capability spanning user interfaces, APIs, databases, cloud infrastructure, deployment, and production operations. Current AI-assisted development experience, sound review judgment, and a preference for mainstream, well-documented tools. Strong async communication, work breakdown, and deadline delivery within structured teams; no degree required, but industry experience is essential. Nice to have Production experience with TypeScript , React, and Python API frameworks such as FastAPI. Experience with PostgreSQL, Docker , CI/CD, infrastructure as code, and cloud platforms. Hands-on model serving, GPU optimization, inference monitoring, or edge deployment experience. Contributions to Ultralytics or other open-source projects and engagement with our developer community . Early engineering experience building

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