Machine Learning Engineer

About Meshy

Headquartered in the Silicon Valley, Meshy is the leading 3D generative AI company on a mission to Unleash 3D Creativity. Meshy makes it effortless for both professional artists and hobbyists to create unique 3D assets—turning text and images into stunning 3D models in just minutes. What once took weeks and $1,000 now takes 2 minutes and $1.

Our global team of top experts in computer graphics, AI, and art includes alumni from MIT, Stanford, Berkeley, as well as veterans from Nvidia and Microsoft. With 3 million users (and growing), Meshy is trusted by top developers and backed by premiere venture capital firms like Sequoia and GGV.

• No. 1 popularity, among 3D AI tools, according to A16Z games,
• No. 1 website traffic, among 3D AI tools, according to SimilarWeb (2M monthly visits),
• Leading 3D foundation model, delighted texture & fine geometry,
• $52M funding by Top VCs,
• 2.5M users & 20M models generated!

Ethan Yuanming Hu serves as the founder and CEO. Ethan got his Ph.D. in graphics and AI from MIT, where he developed the Taichi GPU programming language (27K stars on GitHub, used by 300+ institutes). His Ph.D. thesis got a honorable mention of SIGGRAPH 2022 Outstanding Doctoral Dissertation Award and his research has been cited over 2700 times. His favorite animal is the llama.

About the Role

We are seeking a Machine Learning Engineer to implement, integrate, and optimize machine learning based features in production, collaborating closely with our Research and Engineering teams to deliver new capabilities that delight users in their 3D creation experiences.

What You’ll Do:

• Develop ML-based product features that extend the capabilities of 3D foundation models; explore various solutions such as prompt engineering, lightweight fine-tuned models, or third-party API integrations.
• Collaborate with Research and Engineering teams to productionize internal machine learning models.
• Build unit and integration tests for ML components and ensure CI/CD pipelines run reliably
• Maintain clear documentation of model designs, API schemas, and deployment processes; participate in code reviews and design discussions.
• Implement machine learning solutions, such as prompt engineering, lightweight fine-tuned models, post-processing, that extend 3D foundation model inputs and outputs for 3D foundation models.

What We're looking for:

• MS in Computer Science or related field or BS plus ~3 years of relevant experience.
• Proficiency in Python and familiarity with ML frameworks (PyTorch, TensorFlow).
• Familiarity with software engineering best practices (unit testing, CI/CD, etc.).
• Hands-on experience (academic or industry) implementing ML models in PyTorch or TensorFlow and integrating them into applications.

Nice to have:

• Familiarity with architecture and algorithms of modern generative models (transformers, diffusion, auto-regression).
• Experience with computer graphics or 3D modeling.
• Familiarity with cloud serving infrastructure and containerization (Docker, Kubernetes).

• Brain: We value intelligence and the pursuit of knowledge. Our team is composed of some of the brightest minds in the industry.
• Heart: We care deeply about our work, our users, and each other. Empathy and passion drive us forward.
• Gut: We trust our instincts and are not afraid to take bold risks. Innovation requires courage.
• Taste: We have a keen eye for quality and aesthetics. Our products are not just functional but also beautiful.

• 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.
• Unlimited, flexible time off.