Senior Machine Learning Engineer

Role overview

Join Genies as a Senior Machine Learning Engineer to build core ML models for animation generation and to drive the end-to-end ML lifecycle from data processing to deployment.

Key missions

• Design, train, and deploy ML models for animation generation, including:
  • text-to-motion
  • audio-driven facial animation
  • full-body performance systems
• Explore and implement modern generative architectures, such as:
  • diffusion models
  • transformers
  • hybrid approaches for motion synthesis
• Own the full ML lifecycle:
  • data processing
  • training
  • evaluation
  • optimization
  • deployment
• Collaborate cross-functionally to optimize model performance and integrate into product pipelines.

Requirements

• 7+ years of machine learning experience, with focus on generative models, multimodal systems, or related areas
• Hands-on experience with generative models, including at least some of: diffusion, transformers, VAEs, GANs
• Experience owning end-to-end ML systems from research through production deployment
• Comfortable working at the intersection of research and production
• Strong ML fundamentals (probability, optimization, deep learning)
• Comfort thinking in systems and understanding how ML fits into larger product workflows
• Framework experience with PyTorch
• Experience with multimodal data (e.g., text, audio, video, motion)

Nice to have

• Familiarity with model optimization and deployment, e.g., ONNX and real-time inference
• Background in 3D animation systems, motion data, or computer graphics

Remote

• Full remote