Generative AI - 3D Foundation Model Researcher
💰 $80,000 – $130,000/yr
Job Description
About This Role
Meshy is seeking a talented Generative AI researcher to lead the development of core 3D-native foundational models. As a core member of our research science and machine learning engineering team, you'll drive innovation in 3D generative AI, advance cutting-edge research, and help shape the future of 3D content creation at scale.
Who You Are
You are a hands-on researcher who thrives in fast-paced environments, combines self-direction with strong team collaboration, and executes efficiently. You possess deep understanding of transformer architecture, strong Python and tensor programming skills, and a compelling vision for AI beyond linear sequences. You believe in scaling laws and can translate high-level goals into concrete research and implementation steps. You communicate complex technical concepts with clarity, embrace new ideas fearlessly, and actively share knowledge with teammates. Your work creates real-world benefits for researchers, engineers, and millions of end users.
About Meshy
Meshy is the market leader in 3D generative AI, ranked No. 1 in popularity among 3D AI tools (2024 A16Z Games survey). We built a full pipeline for 3D content creation—from text/image to 3D, texturing, texture editing, animation rigging, and beyond. Our vibrant community enables creators to share work, gain inspiration, and monetize assets. We're trusted by enterprises including Meta, Square Enix, and DeepMind, and our platform powers game and film production, 3D printing, industrial design, user-generated content features, and robotics training.
Your Key Responsibilities
Design and train large-scale 3D generative models covering pre-training, post-training, diffusion, flow matching, and multi-modal learning paradigms.
Bridge research and product by deploying models in real products used by millions of creators, leveraging human feedback and creative evaluation.
Create novel model architectures to make 3D generation faster, higher-quality, and more controllable.
Collaborate with infrastructure teams to build scalable training and data pipelines across GPU clusters and cloud environments.
Push state-of-the-art capabilities in 3D AI while identifying and achieving intermediate research milestones toward long-term ambitious goals.
What We're Looking For
Expertise in transformer architectures and deep learning fundamentals
Production-grade Python and tensor programming proficiency
Experience with large-scale model training and optimization
Knowledge of diffusion models, flow matching, or multi-modal learning
Ability to work across research, engineering, and product domains
Strong communication skills and collaborative mindset
💰 Compensation not publicly listed. Market estimate for similar roles: from $80K, varying by experience and location.