About this role
Role Overview
The Machine Learning Engineer position at Meshy is an exciting remote opportunity based out of Shenzhen for professionals skilled in GPU computing and deep learning workloads. This role suits individuals who want to build and optimize next-generation 3D generative artificial intelligence models.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
About the Company
Meshy is the market leader in 3D generative AI, recognized as the number one tool in popularity according to the 2024 A16Z Games survey. The company offers a full pipeline for 3D content ranging from text and images to 3D, texturing, animation rigging, and more. Trusted by major enterprises such as Meta, Square Enix, and Deepmind, Meshy tools are utilized across game and film production, 3D printing, industrial product design, and robotics training. The organization values intelligence, the pursuit of knowledge, direct communication, boldness, and a keen eye for quality and aesthetics.
How to Apply
Interested candidates should visit the official Meshy careers page to submit their application for this remote Machine Learning Engineer position.
Skills and tech stack
Questions candidates ask
Is this Machine Learning Engineer position remote?
Yes, this role offers remote work flexibility while being based in Shenzhen.
What core programming languages are required for the role?
Candidates must have strong programming skills in C++ and Python, along with hands-on experience with CUDA and GPU programming.
What does Meshy specialize in?
Meshy is a market leader in 3D generative AI, providing a full pipeline for 3D content creation, texturing, and animation rigging used by enterprises and millions of end users.
Which major companies use Meshy's technology?
Meshy is trusted by leading enterprises including Meta, Square Enix, and Deepmind.
What optional skills are beneficial for applicants?
Helpful nice-to-have skills include experience with model compression or quantization, knowledge of computer graphics and rendering pipelines, and familiarity with GPU profiling tools like Nsight and nvprof.
How should I apply for this job?
You should apply directly on the official company careers page.
