Design, prototype, and optimize deep learning models for text-to-video and image-to-video generation using state-of-the-art generative techniques such as diffusion models, transformers, and temporal GANs
Develop scalable pipelines for dataset curation, preprocessing, training, validation, and model evaluation with automated visual, temporal, and semantic quality metrics
Lead AI feature development from concept to production, ensuring measurable business impact and strategic alignment
Enhance model development workflows, experiment tracking, testing frameworks, and release pipelines for reliable and efficient deployment
Collaborate closely with product managers, engineering teams, and leadership to define use cases, prioritize initiatives, and deliver production-grade AI systems
Conduct A/B testing, analyze performance feedback, and iterate models to meet user experience and creative quality benchmarks
Stay current with advancements in generative AI and multimodal learning; contribute to internal knowledge sharing and represent the team in technical discussions
