Generative AI - 3D Foundation Model
Who You Are
You are a talented, hands-on researcher who thrives in a fast-paced environment, is self-directed, a team player, and knows how to get things done efficiently. You have deep understanding of the transformer architecture, have strong python and tensor programming skills, have a vision for AI beyond linear sequences, and you believe in "the scaling law". You can translate high-level goals into concrete research and implementation steps, set an approach, and follow through. When it's time to explain your ideas, you bring clarity to complex technical issues. You are not afraid of confronting new ideas, and you are eager to share your knowledge with the team. You use these skills to create real-world benefits for our researchers, engineers, and millions of users, and you are excited to help advance our effort to push the state of the art of AI that understands and generates 3D worlds.
Who We Are
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.
Your next challenge
As a core member of the team of research scientists and machine learning engineers at Meshy, you will drive the development of our core 3D-native generative foundational model. In this role, you will join our foundational research to advance 3D AI, apply learnings from other fields of ML, and pushing the state of the art. You will also work towards long-term ambitious research goals, while identifying intermediate milestones.
The essential functions include, but are not limited to the following:
Design, train, and refine large-scale 3D generative models from covering pre-training, post-training, and emerging paradigms in diffusion, flow matching, and multi-modal learning.
Bridge the gap between cutting-edge research and product, deploy models in real products used by millions of creators, using human feedback and creative evaluation.
Create novel model architectures to make 3D generation faster, higher-quality, and more controllable.
Collaborate with infrastructure and systems teams to build scalable training, and data pipelines across GPU clusters and cloud environments.
Bring engineering discipline into an fast-paced research environment: elegant code, reproducible experiments, and building software as a team.
Share insights and breakthroughs through internal demos, open-source contributions, or technical reports that advance the field of 3D generative AI.
What We're Looking For
Strong engineering skills in Python and deep learning frameworks (preferably PyTorch); comfortable moving between research prototypes and production systems.
Familiar with Transformers and modern generative AI models (Diffusion / flow matching, VAE, etc.).
Curiosity and passion for multi-modal AI, and have an intuitive understanding of how models perceive, represent, and generate 3D worlds.
Familiar with high performance training on large scale infrastructure (e.g., SLURM, Ray, k8s) is a plus.
Contributions to popular open-source machine learning projects or publications in top-tier CV / ML conferences is a plus.
A Little More about meshy.ai
Trusted by Meta, Square Enix, Deepmind and more, Meshy is redefining 3D creation with generative AI. We empower artists, designers, engineers, hobbyists, and makers to bring immersive worlds, characters, and experiences to reality in minutes instead of months.
In addition to our core mission of unleashing creativity, we build a culture that we enjoy and are proud of. Here are some highlights:
We value intelligence and the pursuit of knowledge. We are a global team of generative-AI pioneers, computer-graphics veterans, and product builders who believe human expression and enjoyment is the ultimate frontier of computing.
We care deeply about our work, our users, and each other. Empathy and passion drive us forward. We have a culture of directness and truthfulness, therefore we value constructive criticism. Being direct and truthful is the most sincere form of trust and care.
We trust our instincts and are not afraid to take bold risks. Meshy was born from a few-hour prototype, a bold pivot for a team that had very little experience in AI. Innovation requires courage.
We have a keen eye for quality and aesthetics. Our products are not just functional but also beautiful. The same aesthetics permeate through our culture, our code and are the same: functional and beautiful.
Locations and work environment
Persons in these roles preferably should be able to spend part of their time on-site in our office. On-site requirements vary based on position and team, and we support fully remote options for exceptional candidates. If you have questions about hybrid or remote work arrangements for this role, please ask your recruiter.
We are a fast paced startup and we work hard. You need to be able to:
communicate information and ideas so others will understand.
observe details at close range.
work under deadlines.
Interview process
You will first be contacted by our recruiter.
Soon afterwards, you will receive an online assessment on some theory questions and some simple numpy coding questions.
We will then schedule a 45 minutes - 2 hr interview slot for a technical coding round. The questions will revolve around tensor / array programming in PyTorch & some practical hands-on training exercise in our GPU-enabled jupyter notebook.
Finally, you will be invited for a 3 hr onsite interview where we'd like you to present a previous work that you are proud of, then you will demonstrate your learning skills and versatility in a peer paper-reading & implementation session with one of our researchers. Finally, you will talk to one of our leaders and our CEO about our culture, your background, and whether we have matching vibes.