Teams at Ultralytics

Develop, train, and validate state-of-the-art computer vision models (detection, segmentation, classification). Write production-ready Python/PyTorch code, optimize models (quantization, pruning) for inference with TensorRT/OpenVINO/ONNX, manage large datasets and augmentations, build CI/CD (GitHub Actions), containerize with Docker, collaborate on research and open-source, and produce documentation and community support.

Lead product strategy, roadmap, pricing, and execution for Ultralytics Platform (annotation, training, deployment). Partner with engineering to ship developer-focused ML SaaS, improve activation/retention, scale a global product team, and engage the open-source community to drive growth and enterprise adoption.

Design, build, and scale the Ultralytics HUB: backend services (Python/FastAPI), frontend apps (TypeScript/Nuxt.js), GCP/Docker infrastructure, microservices, CI/CD with GitHub Actions, integrate computer vision/MLOps capabilities, and maintain code quality and performance.