Jobs 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.

Build and run the company's legal function: enforce and negotiate AGPL-3.0/Enterprise licenses, draft and negotiate SaaS and commercial agreements, manage IP strategy, advise on GDPR and cross-border data transfers, establish legal ops and AI governance, and manage outside counsel across jurisdictions.

Own Ultralytics' social media presence: develop and execute strategy, create and publish multimedia content, engage community, analyze performance using analytics tools, and collaborate with engineering and marketing on product launches and announcements to grow audience and engagement for vision AI products.

Lead end-to-end global employee lifecycle and People Ops systems for a scaling AI startup. Build onboarding/offboarding, HRIS workflows, compliance coordination, talent development, performance frameworks, and documentation while partnering with leadership and regional leads to support a multi-location team.

As a Senior Quality Assurance Engineer, ensure quality and performance of the Ultralytics Platform by maintaining automated test suites, leading testing strategies, mentoring junior engineers, and improving test reliability.

Build and own RevOps reporting, attribution, and HubSpot CRM operations. Clean and scale CRM data, create dashboards, automations, and integrations, measure marketing performance, advise GTM leaders with actionable insights, and establish KPIs and operational rhythms to improve pipeline velocity and conversion.

Develop and scale LLM-powered applications and RAG systems, integrate multi-API workflows, design vector storage and data pipelines, fine-tune LLMs, collaborate on multi-modal computer vision projects, and automate CI/CD for deployment and testing.

Serve as the hands-on finance leader during scaling: own FP&A, month-end, cash and treasury, controls, statutory reporting, and investor engagement. Provide operational support for legal, compliance, payroll, and HR processes while building scalable finance systems and reporting.

Lead product marketing for Ultralytics' AI/computer vision products: own positioning, messaging, and GTM launches; create developer-facing content and sales enablement; partner with engineering, product, growth, and community to drive adoption and measurable outcomes.

Apprenticeship-style commercial role owning two vertical markets end-to-end: research accounts, generate qualified pipeline, develop messaging, work deals with an Enterprise AE, and build repeatable sales playbooks to close deals and scale growth.

Act as the technical face for Ultralytics, designing and deploying end-to-end computer vision solutions with YOLO. Lead demos, POCs, annotation and training pipelines, debug models, support pre-sales, run workshops, and liaise with Sales, Product, and Engineering to ensure successful customer integrations and adoption.

Lead end-to-end creative production for marketing, web, social, events, motion, and print. Implement brand uplift with an agency, lead design QA and research, and collaborate with Growth, Product, and Creative to translate complex vision-AI concepts into clear, on-brand visuals under a fast startup pace.

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.

Own a book of 30-40 enterprise accounts from onboarding through renewal. Drive net dollar retention, identify and close expansion opportunities with AE partners, run QBRs and technical reviews, consult on model architecture and deployment with ML engineers, and provide product/roadmap feedback across functions.

Manage a high-volume mid-market book (~80 accounts, $2M ARR) to drive retention and expansion. Own renewals, surface expansion signals to AEs, run onboarding and business reviews, and hold credible technical conversations about model deployment and integrations.