Machine Learning Engineer

1 day 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 30 experts in computer graphics, AI, and art includes alumni from MIT and Harvard, as well as veterans from Nvidia, Microsoft, and Google.

We are trusted by Supercell, Sega, Snap, and backed by top venture capital firms like GGV and Sequoia.

About the Role

We are seeking a Machine Learning Engineer 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.

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.

Collaborate 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).

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.

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.

Why Work with Us

Competitive salary, equity, and benefits package.

Opportunity to work with a talented and passionate team at the forefront of AI and 3D technology.

Flexible work environment, with options for remote and on-site work.

Opportunities for fast professional growth and development.

An inclusive culture that values creativity, innovation, and collaboration.



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