Model Optimization Engineer

At World Labs, our mission is to revolutionize artificial intelligence by developing Large World Models, taking AI beyond language and 2D visuals into the realm of complex 3D environments, both virtual and real. We're seeking an experienced engineer to bridge the gap between our research team's state-of-the-art models and production-ready inference systems.

Requirements

• 3+ years optimizing deep learning models for production inference
• Expert-level PyTorch and CUDA programming experience
• Hands-on experience with model quantization (INT8/FP16) and inference frameworks (TensorRT, ONNX Runtime)
• Proficiency in GPU profiling tools and performance analysis
• Experience with multi-GPU inference and model serving at scale
• Strong understanding of transformer architectures and modern ML model optimization techniques