R&D Engineer
Core
Design and develop novel neural network architectures for next-generation YOLO models, turning research papers into production-ready open-source computer vision systems.
Role type
Senior IC R&D Engineer (Neural Network Architect)
Builds
Open-source YOLO models for detection, segmentation, and pose estimation used by millions of developers
Domain
Computer Vision / Deep Learning
Deliverable
production ML models
Required skills
Neural network architecture design, PyTorch, Python, Convolutional Neural Networks (CNNs), Attention mechanisms, Model optimization (distillation, pruning, quantization), Research paper implementation, Large-scale experimentation
Preferred skills
Published research (CVPR, ICCV, NeurIPS), Distributed training, CUDA profiling, Model deployment, Open-source community contribution
Technologies
PyTorch, Python, CUDA
Responsibilities
Research and design novel neural network architectures; Develop core components (backbones, necks, heads); Run ablation studies and large-scale experiments; Build training recipes and evaluation pipelines; Partner with engineering teams to productionize models; Contribute to foundational model initiatives
Seniority
Senior, hands-on IC