Solutions Engineer

Responsibilities

• Collaborate with clients to architect end-to-end computer vision solutions using the YOLO ecosystem
• Deliver technical demos, onboarding sessions, proofs of concept, and technical workshops
• Design annotation strategies and model training pipelines tailored to client data and constraints
• Debug client issues using Python, OpenCV, and the YOLO package
• Support pre-sales efforts through technical discovery calls and proposal shaping
• Partner with Sales, Marketing, Engineering, and Product teams to advocate for customer needs
• Act as a strategic technical advisor to drive business outcomes with YOLO models
• Represent Ultralytics at conferences, webinars, and customer events

Requirements

• 5+ years of experience in computer vision, machine learning, or applied AI roles
• Proficiency in Python and familiarity with the YOLO ecosystem
• Hands-on experience with OpenCV, PyTorch, and classical ML/CV concepts
• Strong understanding of end-to-end model lifecycles (data collection, training, deployment)
• Experience with Docker and comfort working across Linux, macOS, and Windows
• Demonstrated ability to teach or mentor developers through workshops or community engagement
• Excellent client-facing communication skills

Benefits

• Competitive salary and equity packages
• Hybrid flexibility (3 days in office, 2 days remote)
• 24 days vacation plus birthday off and local holidays
• Flexible working hours
• High-end gear including Apple MacBook and Apple Studio Display

About the Company

Ultralytics is a high-performance AI company dedicated to producing the world's best YOLO AI models and machine learning tools.