R&D Engineer
Core
Design and develop novel neural network architectures for next-generation YOLO models, operating at the intersection of research and production to shape open-source models used by millions.
Role type
Senior IC R&D Engineer (Computer Vision / Neural Architecture)
Builds
Production-ready open-source YOLO models for detection, segmentation, and pose estimation
Domain
Computer Vision / Deep Learning
Deliverable
production ML models
Required skills
Neural network architecture design, PyTorch (expert), Python, Convolutional Neural Networks, 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 constraints, Open-source community presence
Technologies
PyTorch, Python, CUDA
Responsibilities
Research and design novel neural network architectures; Develop core components (backbones, necks, heads, attention modules); Run rigorous ablation studies and large-scale experiments; Build training recipes and evaluation pipelines; Partner with engineering teams to turn research into production models; Contribute to foundational model initiatives
Seniority
Senior, hands-on IC
