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As an Infrastructure Intern, you will support platform engineering and cloud infrastructure projects, working with experienced engineers on AI systems, Kubernetes, and automation tools, contributing to production-impacting initiatives.

As a Fullstack Engineer Intern, you will work on real production projects involving scalable systems, machine learning models, and product features, while collaborating with experienced engineers in a fast-paced environment.

Lead Meshy's global partnerships strategy and execution: identify, pitch, and close marquee brand, platform, and IP collaborations; drive joint go-to-market campaigns; build brand mindshare; and recruit and scale the business development/partnerships team and operating rhythm.

Intern will build and automate pipelines connecting generative models and 3D data, develop evaluation infrastructure, integrate with DCC tools (Maya/Blender/Houdini), write production-quality code, and identify pipeline bottlenecks to scale workflows for researchers and artists.

Identify and research prospects, engage via email/calls/LinkedIn, qualify leads, book demos for AEs, refine outreach, maintain CRM pipeline, and meet activity and meeting targets while collaborating with Sales and Marketing.

As an Account Executive, you will build relationships, deliver on revenue targets, manage leads, travel for events, and inform sales strategy.

The Backend Engineer will work on developing scalable programs, collaborating with teams, conducting testing, and supporting production issues.

The Data Artist will collaborate with algorithm engineers to set 3D art standards, optimize artistic pipelines, monitor quality from vendors, and research 3D Generative AI trends.

Lead end-to-end UI/UX design for 3D AIGC product Meshy, improving product experience and establishing design guidelines while collaborating with product and engineering teams.

The AI Infrastructure Engineer will build and scale AI inference infrastructure, optimize resource management systems, and ensure systems reliability while collaborating with the research team and product-facing backend systems.