design and implement state-of-the-art ML and GenAI models to solve complex problems in areas such as visual effects, neural rendering, motion capture, and 3D content generation
directly impact the future of digital storytelling and content creation

2+ years of experience in applied Machine Learning
Proven experience with Deep Learning and Computer Vision techniques, including but not limited to: CNNs, RNNs, Transformers, Autoencoders, Diffusion Models, and Transfer Learning.
Hands-on experience in any of: 3D Pose Estimation, Motion Reconstruction, and Image/Video-based 3D Modeling.
Neural Rendering, Generative Models (e.g., GANs, VAEs, Diffusion), and Photorealistic Synthesis.
Strong programming skills in Python
Proficiency with ML frameworks such as PyTorch or TensorFlow.
Solid understanding of Computer Graphics fundamentals, including rendering pipelines, shading, and simulation.
Familiarity with Numerical Optimization techniques and differentiable programming.
(Optional but valuable) Experience with 3D tools such as Blender, Maya, or game engines (e.g., Unreal, Unity).
Bachelor’s degree in Computer Science, Mathematics, Electrical Engineering, or a related technical field.
Excellent communication skills in English, both written and verbal.

Machine Learning Engineer

Key skills