Founding ML Engineer, Computer Vision (Object Detection)

📋 Description

• Define the computer vision architecture for fine-grained item identification, leveraging foundation
• Design, train, fine-tune, and productionize computer vision models capable of accurately
• Establish accuracy standards across different product categories and develop calibrated confidence
• Build evaluation frameworks that measure real-world model performance and track improvements over
• Develop feedback loops that use model errors and production insights to guide labeling, dataset
• Prioritize engineering and research efforts between expanding category coverage and improving

🎯 Requirements

• 5+ years of applied computer vision experience, including experience shipping a computer vision
• Strong experience with fine-grained or instance-level classification, particularly in scenarios
• Advanced proficiency with PyTorch or TensorFlow and hands-on production experience fine-tuning and
• Experience developing robust evaluation frameworks for measuring real-world model performance
• Strong understanding of the end-to-end machine learning lifecycle, including experimentation, model
• Ability to operate as the senior technical owner of an ambiguous problem without an established

🎁 Benefits

• Annual salary range of $200,000–$260,000.
• Fully remote work within North America.
• Founding-level ownership over the computer vision and machine learning function.
• Significant influence over technical architecture, ML strategy, and engineering priorities.
• Opportunity to take models from research through production and see their direct impact on a
• High-autonomy environment with the opportunity to solve challenging computer vision problems at an