Ultralytics

HQ
Frederick
52 Total Employees
Year Founded: 2022

Jobs at Ultralytics

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Recently posted jobs

17 Days AgoSaved
Hybrid
Austin, TX, USA
Artificial Intelligence • Computer Vision • Machine Learning • Software
Own a named North American enterprise account book to convert YOLO adoption into revenue. Manage full enterprise sales cycles, multithread stakeholders, build account plans, run discovery, negotiate contracts, and collaborate with solutions engineering and customer success to drive land-and-expand growth.
17 Days AgoSaved
Hybrid
Austin, TX, USA
Artificial Intelligence • Computer Vision • Machine Learning • Software
Manage 30–40 enterprise and high-value mid-market accounts through onboarding, deployment, adoption, expansion, and renewal. Drive net dollar retention, run QBRs and technical reviews, build account and success plans, coordinate with AEs, SEs, Product and Engineering, and act as the technical customer advocate for computer vision/YOLO deployments.
17 Days AgoSaved
Hybrid
Austin, TX, USA
Artificial Intelligence • Computer Vision • Machine Learning • Software
Lead technical discovery and design of computer vision solutions using YOLO. Build Python prototypes, benchmarks, and production deployment workflows across cloud and edge. Deliver demos, workshops, and POCs; translate customer needs into architectures; collaborate with Sales, Customer Success, Product, and Engineering to drive deployments and reusable ecosystem contributions.
8 Days AgoSaved
Remote
USA
Artificial Intelligence • Computer Vision • Machine Learning • Software
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.
23 Days AgoSaved
Remote
USA
Artificial Intelligence • Computer Vision • Machine Learning • Software
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.