R&D Engineer
New
U
UltralyticsArtificial Intelligence
RemoteFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonPyTorchDeep LearningComputer Vision
Requirements
- 5+ years of hands-on experience in computer vision and deep learning with architecture design expertise.
- Proven success building models from the ground up, not just fine-tuning pretrained checkpoints.
- Expert-level Python proficiency.
- Deep proficiency in PyTorch, including custom layers, modules, and training loops.
- Strong command of convolutions, attention, normalization, optimization, and loss design fundamentals.
- Ability to read a research paper and implement it faithfully and efficiently from scratch.
- Experience with efficiency research such as quantization, pruning, distillation, or neural architecture search.
- Strong portfolio of research contributions through papers, preprints, open-source code, or original model work.
Responsibilities
- Research, design, and build novel neural network architectures for next-generation YOLO models.
- Develop core components including backbones, necks, heads, attention modules, and efficient building blocks.
- Read, reproduce, and extend cutting-edge papers into working model architectures from scratch.
- Run rigorous ablation studies and large-scale architecture experiments across standard benchmarks.
- Improve accuracy, latency, and scaling through distillation, pruning, and quantization-aware design.
- Partner with R&D and engineering teams to turn research ideas into production-ready open-source models.
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