Hybrid Machine Learning Engineer

Posted yesterday

Apply now

About the role

  • Machine Learning Engineer designing GPU computing kernels to optimize 3D GenAI models at Meshy. Collaborating with researchers to enhance performance and efficiency in GPU module development.

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.
  • 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.

Benefits

  • We value intelligence and the pursuit of knowledge.
  • We care deeply about our work, our users, and each other.
  • We trust our instincts and are not afraid to take bold risks.
  • We have a keen eye for quality and aesthetics.

Job title

Machine Learning Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job