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Machine Learning Engineer - Inference Maintainer & Developer Experience

📅 Jul 1
Machine LearningComputer VisionCI/CDAutomated Testing

📜 Description

  • Build and maintain inference, our flagship open source and commercial CV inference engine, keeping it healthy and high-quality as contribution volume scales.
  • Build an agentic-driven contribution pipeline — automated and semi-automated review, triage, and CI/CD — to safely accept a high volume of agent-generated PRs and move from weekly releases toward daily ones.
  • Design and grow a world-grounded, ever-expanding test suite that validates real build health across every target, aiming for nightly end-to-end runs.
  • Define and enforce review standards and skills for agents and contributors, exercising judgment on merging and pushing back as needed.
  • Teach and enable internal teams and customers, helping them get the full value of the product.

🛠️ Requirements

  • 5+ years of hands-on experience building and operating production-grade ML systems, ideally involving large-scale deployment of modern AI models.
  • Strong foundation in computer vision and machine learning, understanding how inference works and how to adapt models for real-world use.
  • Experience with CI/CD, release engineering, and test infrastructure, having built or improved automated testing and delivery pipelines.
  • Practical expertise with core ML technologies, including PyTorch, TensorFlow, ONNX, and TensorRT.
  • Strong proficiency in image and video processing, including OpenCV and hardware-accelerated video decoding.
  • Excellent communication and collaboration skills, comfortable being a public-facing voice for the project.

Benefits

  • $4000/yr Travel Stipend to travel anywhere anytime to work alongside other Roboflowers
  • $350/mo AI Tools stipend
  • Cover up to 100% of your health insurance costs for you and your partner or family
  • Streamline how new models get added to inference, making it faster and easier to bring the latest computer vision and ML models to users.
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