Machine Learning Engineer - Deployments Team

5+ years of hands-on experience building and operating production-grade ML systems, ideally involving large-scale deployment of modern AI models. Practical expertise with core ML technologies, including several of the following: PyTorch, TensorFlow, ONNX, TensorRT. Strong proficiency in image and video processing, including several of the following: OpenCV, DeepStream, Pillow, PyAV. Strong foundational understanding of ML models. Solid Computer Science background, with the ability to tackle complex programming and architecture challenges. Strong system design skills, with experience designing scalable and reliable systems.

Design and deliver advanced solutions that generate predictions from a wide range of Computer Vision models across diverse deployment environments. Build and evolve key components of the Roboflow Platform to ensure seamless, reliable model deployment at scale. Experiment with cutting-edge models and deployment technologies to identify optimal approaches and push the boundaries of performance. Optimize existing systems to improve speed, reliability, and overall efficiency. Collaborate closely with cross-functional Roboflow teams to provide tooling and deployment solutions. Maintain and improve current deployment pipelines and infrastructure. Contribute to and maintain Roboflow’s open-source projects.