About this role

Develop and improve multimodal AI systems involving image, video, and generative pipelines.
Work on diffusion model optimization, controllability, and step efficiency.
Design experiments and evaluation frameworks for visual realism and consistency.
Translate research prototypes into scalable production systems.
Collaborate closely with infrastructure teams to optimize training and inference.

Degree in Computer Science, AI, Robotics, or comparable combination of education and practical experience.
Strong programming skills in Python and familiarity with object-oriented languages (C++, Java, or similar).
Strong data structures and algorithms fundamentals.
Experience with PyTorch or similar frameworks.
Familiarity with CNNs, Vision Transformers (ViT), or diffusion architectures.
Experience with Stable Diffusion, ControlNet, LoRA, or generative pipelines (preferred).
Human pose estimation, geometry-aware modeling, or video understanding (preferred).
Experience shipping ML systems into production (preferred).

Machine Learning Engineer – Computer Vision, Multimodal, Generative AI

Key skills