Machine Learning Engineer
Indexed description
What We're Looking For
- 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.
- 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.
- 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.
In Addition To Our Core Mission Of Unleashing Creativity, We Build a Culture That We Enjoy And Are Proud Of. Here Are Some Highlights
- We value intelligence and the pursuit of knowledge. We are a global team of generative-AI pioneers, computer-graphics veterans, and product builders who believe human expression and enjoyment is the ultimate frontier of computing.
- We care deeply about our work, our users, and each other. Empathy and passion drive us forward. We have a culture of directness and truthfulness, therefore we value constructive criticism. Being direct and truthful is the most sincere form of trust and care.
- We trust our instincts and are not afraid to take bold risks. Meshy was born from a few-hour prototype, a bold pivot for a team that had very little experience in AI. Innovation requires courage.
- We have a keen eye for quality and aesthetics. Our products are not just functional but also beautiful. The same aesthetics permeate through our culture, our code and are the same: functional and beautiful.
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