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Machine Learning Engineer Intern: 3D Generative AI (Q1 2026)

Genies

From $45
Dec 5, 2025
Los Angeles, CA, US
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Genies is looking to design, develop, and deploy machine learning models that produce high-quality 3D assets for their avatar creation ecosystem, incorporating AI and machine learning capabilities into their creator tools and product offerings.

Requirements

  • Proficiency in Python programming and extensive experience with AI/DL Frameworks (e.g. PyTorch, TensorFlow)
  • Experience in multimodal training for 3D computer vision and graphics, such as: Generative models (e.g., diffusion, GANs, VAEs, flow-based)
  • Advanced architectures like Transformers, Vision Transformers (ViT), and Diffusion Transformers (DiT).
  • Background in computer graphics, computational geometry, and 3D principles is a plus.
  • Experience with volumetric differentiable rendering techniques using Neural Radiance Fields (NeRF) or Gaussian Splatting, including scene representation learning, novel view synthesis, and integration with neural rendering pipelines.
  • Experience training and scaling large machine learning models, including optimizing training pipelines, managing compute resources and deploying models to production.
  • Hands-on experience with ML infrastructure, such as distributed training, data pipelines, model versioning, and experiment tracking.

Responsibilities

  • Collaborate with R&D and Application teams to integrate AI/ML solutions into our avatar creation ecosystem, leveraging advanced 3D computer vision (CV) and computer graphics (CG) techniques.
  • Design, train, fine-tune, accelerate, optimize, and deploy ML models and technical frameworks.
  • Utilize a strong understanding of computer graphics pipelines, computational geometry, and 3D principles to synthesize meshes, images, and/or motion.
  • Apply practical expertise in implementing white paper concepts to develop user-facing creative technologies.
  • Manage ML framework resources and infrastructure, including dataset management, client/cloud computing options, experiment tracking and model deployment techniques.
  • Partner with Product and Creative teams to refine AI/ML-powered creation tools and interfaces.
  • Stay up-to-date on emerging technologies in AI and advise on their strategic integration into innovative solutions.

Other

  • Master’s degree or higher in Computer Science, Computer Graphics, or a related field with a strong emphasis on machine learning and artificial intelligence.
  • Minimum of 3 years of professional industry / research experience in machine learning, computer vision, or computer graphics.
  • Excellent teamwork skills, effective in working with cross-functional teams and engaging stakeholders.
  • Ability to communicate complex ideas to non-technical audiences.
  • Industry experience with AI-driven content creation as it relates to games or animation, including: 3D reconstruction and generation, 2D/3D geometry analysis (segmentation & tagging), Generative models for avatars and textures., Object and body tracking, Avatar behavioral systems.