Ultralytics

Founding Engineer responsible for building Ultralytics’ New York engineering team and shipping end-to-end ML/computer vision, full-stack, and production infrastructure capabilities around YOLO. This hands-on senior technical-lead role offers broad ownership across architecture, implementation, deployment, and production outcomes.

Build and optimize Ultralytics YOLO computer vision models for production deployment across embedded CPUs, GPUs, NPUs, and SoCs. You’ll own hardware and runtime integrations while collaborating directly with silicon partners and developer communities.

Partner Solutions Engineer who will help partners build, integrate, and deploy computer vision solutions using Ultralytics YOLO. This hands-on, client-facing role combines technical discovery, solution architecture, demos, model deployment, and partner enablement.

As a Solutions Engineer, you’ll turn customer computer vision challenges into production-ready YOLO solutions through technical discovery, prototyping, deployment, and hands-on customer engagement. You’ll build with Python and machine learning technologies while owning outcomes from initial evaluation through production.

Ultralytics is seeking a Senior Quality Assurance Engineer to own automated testing for its AI platform, web UI, APIs, and YOLO-powered workflows. The role focuses on Playwright-based test automation, CI/CD quality infrastructure, and mentoring engineers in a hybrid Shenzhen office environment.

Hands-on Solutions Engineer role turning customer computer vision challenges into production systems built on Ultralytics YOLO. You will lead discovery, build prototypes and proof-of-concepts, deploy models across cloud and edge environments, and own technical outcomes through production.

Ultralytics is seeking a Senior Full Stack Engineer to build and scale its AI model development platform. The role combines Python and FastAPI backend development, TypeScript and Nuxt.js frontend work, and cloud infrastructure on GCP in a hybrid Shenzhen office setting.

Build and optimize Ultralytics YOLO computer vision models across training, deployment, and high-performance inference. This Shenzhen-based hybrid role combines machine learning engineering, model optimization, MLOps, and open-source collaboration.

Ultralytics is hiring an LLM Engineer to build and scale LLM-powered applications, RAG systems, and multimodal solutions integrated with its YOLO computer vision ecosystem. The role is based in London with a three-days-in-office hybrid schedule and focuses on OpenAI, Anthropic, Gemini, fine-tuning, and vector search.