Machine Learning Engineer

The role

The Machine Learning Engineer will design, implement, and optimize GPU computing kernels for 3D GenAI models. They will develop domain-specific libraries and work with researchers and infra engineers to deliver high-efficiency GPU modules.

What you will do

• 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.

Required qualifications

• 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.

Nice to have

• 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 used in game and film production, 3D printing, and industrial design. The company builds a full pipeline for 3D content and a community for creators.