AI Systems Engineer

3 days ago


Santa Clara, California, United States Meshy Full time

About Meshy

We are a leading 3D generative AI company headquartered in the Silicon Valley, on a mission to unleash 3D creativity.

We simplify the creation of distinctive 3D assets for both professional artists and hobbyists by transforming text and images into stunning 3D models in minutes.

Our global team of experts in computer graphics, AI, and art includes alumni from top universities and veterans from top tech companies.

We are trusted by top gaming companies and backed by top venture capital firms.

About the Role

We are looking for Machine Learning Engineers who can help us build the world's largest 3D GenAI systems.

The ideal candidate has a combination of strong hands-on engineering skills, extensive industry experience working on machine learning projects, and thrives in a fast-paced, high-ownership environment.

Key Responsibilities

  • Work within the AI model team to streamline 3D data into high-throughput pipelines and scale training infrastructure to hundreds of GPUs.
  • Train, accelerate, and deploy machine learning models for 3D GenAI.
  • Work closely with researchers, software engineers, and artists to integrate AI models into production.
  • Optimize and scale models for performance and efficiency.

Requirements

  • 3+ years of relevant engineering or research experience in machine learning, computer vision, and/or graphics.
  • Solid knowledge of at least one machine learning framework (e.g. PyTorch, Tensorflow).
  • Very strong programming skills and ability to write clean and maintainable research code in Python and/or C++.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong communication skills and the ability to convey complex technical concepts to a non-technical audience.
  • Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure.

Preferred Qualifications

  • Experience with 3D data and computer graphics.
  • Hands-on experience with GPU programming frameworks such as CUDA/pile/JAX/XLA.
  • Experience with generative models such as GANs, VAEs, or diffusion models.
  • Knowledge of software development best practices, including version control (Git), testing, and CI/CD.

Our Values

We value intelligence and the pursuit of knowledge. Our team is composed of some of the brightest minds in the industry.

We care deeply about our work, our users, and each other. Empathy and passion drive us forward.

We trust our instincts and are not afraid to take bold risks. Innovation requires courage.

We have a keen eye for quality and aesthetics. Our products are not just functional but also beautiful.



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