Key Responsibilities:
- Design, implement, and optimize text-to-video and image-to-video generation models.
- Collaborate with cross-functional teams to integrate video generation models into existing frameworks and products.
- Conduct research to stay updated with the latest advancements in video generation technologies and apply them to improve model performance.
- Develop and maintain scalable and efficient training pipelines for video generation models.
- Evaluate and benchmark model performance, ensuring high-quality video output.
- Contribute to open-source projects and participate in the AI research community.
Requirements:
- Bachelor's degree in Computer Science, Electrical Engineering, or a related field.
- Proven experience in developing deep learning models, specifically for video generation.
- Strong proficiency in programming languages such as Python and experience with deep learning frameworks like TensorFlow or PyTorch.
- Solid understanding of computer vision techniques and neural networks.
- Experience with GANs, VAEs, or other generative models for video synthesis.
- Familiarity with data processing and augmentation techniques for video datasets.
- Excellent problem-solving skills and the ability to work independently as well as in a team environment.
- Strong communication skills and the ability to present technical concepts to a non-technical audience.
