
R&D Engineer
Posted Jun 29

Posted Jun 29
This is a fully remote position, open to applicants in United States.
• Conduct research, design, and develop innovative neural network architectures for the next-generation YOLO models.
• Create essential components such as backbones, necks, heads, attention modules, and efficient building blocks.
• Analyze, replicate, and build upon cutting-edge research papers to create functional model architectures from the ground up.
• Execute comprehensive ablation studies and large-scale architecture experiments across standard benchmarks.
• Enhance accuracy, latency, and scalability through techniques like distillation, pruning, and quantization-aware design.
• Develop training recipes and evaluation pipelines for detection, segmentation, pose, and new vision tasks.
• Collaborate with R&D and engineering teams to transform research concepts into production-ready open-source models.
• Participate in foundational model initiatives that will underpin future YOLO and broader vision systems.
• Take responsibility for assigned R&D tasks beyond architectural work, efficiently and accurately resolving issues.
• Over 5 years of practical experience in computer vision and deep learning with a focus on architecture design.
• Demonstrated success in building models from scratch, rather than merely refining pretrained checkpoints.
• Expert-level proficiency in Python and deep expertise in PyTorch, including custom layers, modules, and training loops.
• Strong understanding of the fundamentals of convolutions, attention, normalization, optimization, and loss design.
• Capability to read and efficiently implement research papers from the ground up.
• Experience in efficiency research areas such as quantization, pruning, distillation, or neural architecture search.
• Robust portfolio showcasing research contributions through papers, preprints, open-source code, or original model work.
• High degree of ownership, adaptability, and comfort in a fast-paced research environment.
• Competitive salary: Reflecting your experience and contributions.
• Equity packages: We want your success to align with ours.
• On-site collaboration: Collaborate with passionate builders in one of our global hubs.
• Flexible working hours: We prioritize results over routines.
• Generous time off: Enjoy 24 vacation days, a day off for your birthday, plus local holidays.
• Tech & tools: Engage in cutting-edge AI projects that empower millions of devices.
• Gear: Receive a brand-new Apple MacBook Air/Pro, Apple Studio Display, and AirPods Pro 3.
• Learning & development: Access a dedicated budget for your personal and professional growth.
• High impact: Your contributions will shape the future of vision AI.
GE Vernova
RTX
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