[Hiring] Principal ML Scientist @Gather AI

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are looking for a Principal ML Scientist to advance the state of our computer vision systems for warehouse inventory scanning. You will work across the full ML lifecycle — from research and model architecture through training, deployment, and production monitoring — with a focus on delivering measurable improvements to detection, segmentation, and OCR accuracy across our drone and MHE Vision products. • Advance core computer vision model performance (object detection, segmentation, OCR) for warehouse inventory scanning across drone and MHE Vision platforms • Own the full ML lifecycle from research and experiment design through production deployment and monitoring — applying rigorous ablation studies and SOTA methodology • Collaborate with the ML infrastructure team on model optimization and deployment across cloud and edge inference targets (ONNX, TensorRT, quantization) • Work with Operations and Product to understand customer needs and translate them into ML improvements with measurable business impact • Provide technical leadership and mentorship to the ML team, raising standards for experiment design, model evaluation, and production readiness • Explore next-generation perception capabilities, including embedded and on-prem inference optimization for new deployment targets Qualifications • 10+ years of experience in machine learning or computer vision • Deep expertise in CNNs, object detection, image segmentation, and OCR using PyTorch (preferred) or TensorFlow • Strong Python proficiency and software engineering fundamentals; hands-on experience with OpenCV and GPU computing • Track record of delivering production ML systems at scale, including model training, evaluation, and deployment • MS or PhD in Computer Science, Machine Learning, Robotics, or a related field Requirements • Experience with drone, robotics, or autonomous systems perception • Publications in top vision or robotics conferences (CVPR, ICCV, ICRA, NeurIPS, CoRL) • Experience designing and deploying models for real-time inference on constrained compute platforms • Warehouse, logistics, or supply chain domain experience