Machine Learning Engineer Intern

Role Overview

Join Genies as a Machine Learning Engineer Intern (full remote). You’ll collaborate with technical artists, engineers, and artists to develop and prototype ML methods that improve 3D avatar texture quality and realism.

Key Missions

• Research & prototype methods to improve 3D avatar texture realism and visual quality.
• Develop techniques to separate lighting from albedo textures.
• Improve consistency of generated textures across different lighting conditions.
• Train, fine-tune, or adapt machine learning models to enhance texture generation and improve visual fidelity.

Profile / Requirements

• Passion for high-quality visuals and strong technical foundations for digital identity experiences.
• Ability to conduct research and prototype solutions based on academic literature.
• Solid understanding of machine learning and recent computer vision concepts.
• Strong communication skills to present findings clearly.
• Familiarity with programming in Python and ML libraries such as:
  • PyTorch, TensorFlow, scikit-learn, Hugging Face.
• Strong problem-solving skills; able to work independently and in teams.
• Currently enrolled in or a recent graduate of a PhD/Master program in CS, AI, ML, or related fields.
• Experience with 3D data / rendering / texture processing (e.g., UV textures, albedo maps, PBR pipelines).
• Familiarity with image-to-image and generative approaches (e.g., diffusion models).
• Experience with image decomposition tasks such as intrinsic image decomposition (lighting vs. reflectance).
• Knowledge of 3D generation / avatar pipelines.