Machine Learning Engineer

Responsibilities

• Design, implement, and optimize GPU computing kernels to accelerate model training and inference for next-generation 3D GenAI models
• Develop and maintain domain-specific libraries and performance-critical components for 3D generation workloads
• Work closely with researchers and infra engineers to identify bottlenecks, benchmark performance, and deliver high-efficiency, production-ready GPU modules

Requirements

• Hands-on experience with CUDA and GPU programming
• Strong programming skills in C++ and Python
• Solid understanding of parallel programming, performance tuning, and numerical computation

Preferred Qualifications

• Experience with quantization, model compression, or other efficiency-oriented model optimization techniques
• Knowledge of computer graphics, rendering pipelines, or geometry processing
• Familiarity with GPU profiling tools (e.g., Nsight, nvprof) or hardware-aware optimization

About the Company

Meshy is a market leader in 3D generative AI, providing a full pipeline for 3D content ranging from text/image to 3D, texturing, and animation. Trusted by enterprises like Meta, Square Enix, and Deepmind, Meshy empowers creators to bring immersive worlds and characters to reality in minutes.