Senior 3D Machine Learning Engineer

**Senior Machine Learning Engineer – 3D Generative AI

Location:**
United States (Remote)

Salary:
$200-280k base + Equity

We are partnering with a well-funded AI company building the next generation of interactive, embodied AI experiences. As their R&D organization scales, they are looking to add a Senior Machine Learning Engineer with deep experience in 3D generative models and a strong bias toward applied, production work.

What You’ll Work On

• Design, train, fine tune, and deploy machine learning models for high quality 3D asset generation
• Apply diffusion, transformer based, and other generative approaches to 3D data
• Work hands on with meshes, textures, motion, and geometric representations
• Translate cutting edge research into reliable, production ready systems
• Collaborate closely with engineering, product, and creative teams to raise realism and output quality
• Own datasets, experimentation, evaluation, and model deployment workflows

What They’re Looking For

• Master’s or PhD in Computer Science, Machine Learning, Computer Graphics, or a related field
• At least 3 years of industry or applied research experience in ML, computer vision, graphics, or 3D generation
• Strong Python skills and hands on experience with PyTorch or TensorFlow
• Experience with generative models such as diffusion models, GANs, or VAEs
• Familiarity with transformer based architectures such as ViT, DiT, or MoE
• Solid understanding of 3D graphics pipelines and computational geometry

Nice to Have

• Experience with 3D reconstruction, avatar generation, or animation systems
• Exposure to NeRF or Gaussian Splatting
• Experience scaling models or ML systems in production environments
• Publications or open source contributions in ML or computer graphics