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Creates high-impact graphic, digital, print, event, marketing, motion, and video assets for Ultralytics. Applies and evolves brand guidelines, builds reusable design systems, translates complex AI concepts into clear visual communications, and collaborates with Growth, Product, and Creative teams. Manages multiple projects from concept through production while maintaining strong visual quality, consistency, and production readiness.

The Founding Engineer will establish Ultralytics’ New York engineering team and own AI/computer vision features end to end. Responsibilities include architecture, coding, testing, deployment, production operations, full-stack interfaces, backend services, infrastructure, model serving, and reliability. The role leads technical reviews, mentors and unblocks engineers, coordinates asynchronously across international teams, contributes to open source, and uses AI-assisted development tools. Strong practical experience with Python, PyTorch, ML/computer vision, full-stack systems, cloud infrastructure, and production delivery is required.

Deploy and optimize YOLO computer vision models on embedded and edge hardware. Build export and inference integrations across runtimes, SDKs, CPUs, GPUs, NPUs, and SoCs; debug conversion and INT8 quantization accuracy issues; benchmark deployments; maintain hardware CI and Docker images; and manage technical integrations with silicon and hardware partners. The role also includes documentation, developer support, partner coordination, and industry demonstrations.

Design and deliver computer vision solutions using Ultralytics YOLO, including model training, export, quantization, integration, and deployment. Lead partner-facing technical discovery, scope projects, build demos and prototypes, review GitHub contributions, and create technical documentation. Collaborate with partnerships, product, and engineering teams while supporting deployments across platforms and representing Ultralytics in meetings and events.

Own full-cycle recruiting for technical and go-to-market roles across global markets. Build sourcing strategies and talent pipelines, partner with hiring managers, assess candidates, improve ATS workflows, track recruiting analytics, support compensation planning, negotiate offers, and deliver a strong candidate experience. The role coordinates hiring across China, the UK, Spain, and the USA while supporting employer branding and distributed teams.

Own and grow a named portfolio of North American enterprise accounts, managing complex B2B sales cycles from discovery through negotiation, contracting, and close. Build account plans, multithread stakeholder relationships, qualify opportunities, forecast pipeline, and expand customer adoption. Collaborate with Solutions Engineering, Customer Success, Legal, and Product to demonstrate YOLO’s value, navigate enterprise requirements, and develop repeatable land-and-expand strategies.

Designs and deploys production computer vision solutions using Ultralytics YOLO. Responsibilities include technical discovery, architecture design, Python prototyping, model training and optimization, benchmarking, deployment across cloud and edge environments, customer demos, workshops, proof-of-concepts, stakeholder management, and creating reusable documentation and integrations. The role partners with Sales, Customer Success, Product, and Engineering while owning technical outcomes throughout the customer lifecycle.

Lead technical discovery and design for computer vision solutions using YOLO. Build Python prototypes, train and optimize models, deploy across cloud and edge, run POCs, deliver demos/workshops, and drive customer outcomes while collaborating with Sales, Product, and Engineering.

Manage 30–40 enterprise and high-value mid-market accounts across onboarding, deployment, adoption, expansion, and renewal. Lead technical onboarding, run QBRs and executive reviews, build account and success plans, drive net dollar retention and expansion, collaborate with AEs, SEs, Product and Engineering, and track account health and renewal forecasts in the CRM.

Design and implement novel neural network architectures for YOLO, run large-scale experiments and ablation studies, optimize models for accuracy and efficiency (quantization/pruning/distillation), build training and evaluation pipelines, and collaborate with R&D and engineering to productionize open-source models.