Ultralytics
Ultralytics
Ultralytics builds AI tools for creating, training, and deploying machine learning models. Its Ultralytics HUB platform works with the Ultralytics YOLO computer vision framework, helping teams develop and manage vision applications across fields such as manufacturing, logistics, agriculture, and healthcare. The company’s work centers on making computer vision model development accessible to a range of users and practical industry needs.

Founding Engineer, Computer Vision

Build Ultralytics YOLO computer vision models, APIs, and infrastructure while establishing the company’s New York engineering team. Take technical ownership from architecture through production and iteration.

Сипаттама

  • Build the New York engineering team.
  • Deliver features for YOLO computer vision models and the surrounding platform.
  • Turn model capabilities into usable interfaces, dependable APIs, and production infrastructure.
  • Own feature areas from requirements and architecture through implementation, testing, deployment, and iteration.
  • Deliver machine learning and computer vision capabilities across full-stack interfaces, backend services, and infrastructure.
  • Use Copilot or Codex regularly, checking generated code for correctness, security, and maintainability.
  • Break ambiguous projects into milestones and coordinate dependencies across locations.
  • Share decisions and blockers asynchronously.
  • Balance customer needs, technical trade-offs, and commercial deadlines with Product and Engineering.
  • Lead design and code reviews.
  • Help engineers move forward and establish standards for testing, observability, and production reliability.
  • Contribute maintainable code, technical documentation, and shared knowledge to the open-source ecosystem.
  • Coordinate with colleagues in the UK, Spain, and China.

Талаптар

  • Bring senior-to-principal or distinguished-level industry delivery experience.
  • Have sustained ownership of feature areas and accountability at tech lead level.
  • Have shipped machine learning, AI, and computer vision work.
  • Demonstrate practical Python and PyTorch skills beyond coursework or research.
  • Work across full-stack interfaces, APIs, databases, cloud infrastructure, deployment, and production operations.
  • Have current experience with AI-assisted development.
  • Apply sound judgment in code reviews.
  • Prefer mainstream tools with strong documentation.
  • Communicate effectively asynchronously, break down work, and meet deadlines in structured teams.
  • A degree is not required; industry experience is essential.
  • Be legally authorized to work in the country of application.
  • Desirable experience includes TypeScript, React, FastAPI, PostgreSQL, Docker, CI/CD, infrastructure as code, cloud platforms, model serving, GPU optimization, inference monitoring, edge deployment, open-source contributions, and early engineering work across international teams.

Артықшылықтар

  • Equity packages.
  • On-site collaboration at one of the global hubs.
  • Flexible working hours.
  • 24 vacation days.
  • Birthday off.
  • Local holidays.
  • Work on advanced AI projects.
  • A new Apple MacBook Air or Pro.
  • Apple Studio Display.
  • AirPods Pro 3.
  • A dedicated budget for personal and professional growth.
  • The opportunity to shape the future of vision AI.
  • A collaborative culture.
  • An inclusive, equal opportunity workplace.

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