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Ultralytics

Develops real-time computer vision AI models

Founding Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • Senior-to-principal/distinguished-level industry delivery, with sustained ownership of feature areas and tech-lead-level accountability.
  • Shipped machine learning/artificial intelligence and computer vision work, with practical Python and PyTorch proficiency beyond coursework or research.
  • Full-stack capability spanning user interfaces, application programming interfaces, databases, cloud infrastructure, deployment, and production operations.
  • Current AI-assisted development experience, sound review judgment, and a preference for mainstream, well-documented tools.
  • Strong asynchronous communication, work breakdown, and deadline delivery within structured teams; no degree is required, but industry experience is essential.

Responsibilities

  • Own a feature area from requirements and architecture through implementation, testing, deployment, and iteration.
  • Ship machine learning/computer vision capabilities alongside full-stack interfaces, backend services, and infrastructure, using the company's documentation and guides.
  • Use Copilot or Codex routinely, validating generated code for correctness, security, and maintainability.
  • 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.
  • Lead design and code reviews, unblock engineers, and set standards for testing, observability, and production reliability.
  • Strengthen the open-source ecosystem through maintainable contributions, technical documentation, and engineering knowledge-sharing.

Desired Qualifications

  • Production experience with TypeScript, React, and Python API frameworks such as FastAPI.
  • Experience with PostgreSQL, Docker, continuous integration/continuous delivery, infrastructure as code, and cloud platforms.
  • Hands-on model serving, graphics processing unit optimization, inference monitoring, or edge deployment experience.
  • Contributions to Ultralytics or other open-source projects and engagement with the developer community.
  • Early engineering experience building products and establishing technical practices across international teams.

About the Company

Ultralytics

Develops real-time computer vision AI models

Ultralytics builds computer vision AI tools for creating, training, and deploying models. Its HUB platform is a no-code web and mobile tool where users drag and drop datasets, train in the cloud, collaborate with teams, and export models with an inference API. Ultralytics YOLO offers fast real-time object detection, segmentation, classification, and tracking for deployment on edge devices and cloud. The company differentiates itself with a strong open-source base paired with an enterprise licensing model, paid HUB plans, and managed data labeling, aiming to make AI accessible and scalable for individuals and businesses.

Company size
51-200
Company stage
Series A
Total funding
$30M
Headquarters
London, United Kingdom
Founded
2014

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