Research Engineer (Generative 3D AI)

Location: On-site in London or Munich

Company

hirify.global develops generative AI World Models that understand the physics and geometry of the physical world to create physically grounded 3D environments for robotics, AR/VR, gaming, and cinema.

What you will do

• Design generative 3D machine learning methods for creating high-quality 3D content from images, video, and other inputs.
• Build, train, optimize, and evaluate models for 3D reconstruction, novel view synthesis, and world generation.
• Implement and experiment with point clouds, meshes, and 3D Gaussian Splatting.
• Develop training pipelines and loss functions to improve geometry accuracy, visual fidelity, and consistency.
• Collaborate with researchers to integrate physics-aware priors and World Model capabilities.
• Analyze model performance, debug failure cases, and improve system quality and robustness.

Requirements

• Bachelor’s or Master’s degree, or equivalent project or research experience, in computer science, machine learning, computer vision, graphics, robotics, or a related field.
• Strong fundamentals in deep learning and generative models, especially diffusion models and transformers.
• Solid understanding of 3D processing concepts, including camera geometry, depth, reconstruction, point clouds, meshes, or Gaussian splats.
• Proficiency in Python and deep learning frameworks such as PyTorch, with experience in model training and optimization.
• Ability to implement research papers, run experiments, and iterate quickly on new ideas.
• Strong coding skills and interest in building reliable, scalable machine learning systems.

Culture & Benefits

• Work at the intersection of generative AI and the physical world.
• Collaborate with researchers and engineers on technically challenging 3D World Model problems.
• Inclusive workplace committed to diversity and equal opportunity.