Machine Learning Systems Intern Job at Meshy LLC (Sunnyvale)

Job Description

We’re looking for exceptional machine learning interns who are passionate about AI, graphics, and building world-class products together with us. At Meshy, we believe 3D creation should be boundless and accessible. Our mission statement is simple: unleash creativity. We built a full pipeline for 3D content ranging from text / image to 3D, texturing, texture editing, animation rigging, etc. We also built a vibrant community for our creators, where people can share their work, take inspiration from others, and even use it as an asset marketplace for their games and prototypes. We are the market leader in 3D generative AI, recognized as the No.1 in popularity among 3D AI tools (according to 2024 A16Z Games survey), and we generate real value and is used by enterprises (including Meta, Square Enix, Deepmind, etc.) and millions of end users. Meshy is used in game and film production, in 3D printing, in industrial product design, in enablement of novel product features such as user-generated content, and even in training and simulation for robotics and physical AI.

Job Responsibility

Collaborate with Machine Learning engineers to drive progress in AI and graphics R&D
Help build the world's largest end-to-end 3D native machine learning systems
Build end to end ML framework dedicated for 3D, from pretraining, to finetuning, inferencing, etc.
Involve the full stack of AI, from debugging and monitoring the hardware platform, building training framework, scaling high-throughput 3D data pipelines for our foundational training, co-designing novel model architectures with researchers, to the novel challenge of efficient inference engines for diffusion models and more

Requirements

Able to commit to a full-time internship for 12 weeks or longer
Intend to join Meshy full-time after graduation (ideally graduating from 9/2026-9/2027, but later is also acceptable)
Open to undergraduate, master's, or PhD students
Strong in technical fundamentals, with a spirit of innovation and willingness to challenge yourself
Experience in machine learning or high performance graphics
Solid practical understanding of at least one machine learning framework (e.g. PyTorch, JAX)
Strong ability to write beautiful and maintainable code in Python and/or C++
Ability to learn fast and dive into new concepts or complex codebases
Performance and efficiency oriented mindset, with a strong interest in the tiniest detail
Strong communication skills for working in a globally distributed team

Nice to have

A strong passion to navigate through the PyTorch internals, with hands-on experience in areas like torch.compile , fully_shard (FSDP2) APIs
Experience with building Triton kernels
Experiences with large-scale distributed training, familiarity with modern parallelization techniques: DP, TP, CP, PP, zero redundancy optimizers, etc.
Experience with diffusion models in 3D or video
Experience with low precision bf16 or fp8 training

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Machine Learning Systems Intern

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