Senior Machine Learning Engineer

Role Overview: As a Senior Machine Learning Engineer, your primary role will involve designing, developing, and deploying advanced models for end-to-end content generation. This includes AI-driven image/video generation, lip syncing, and multimodal AI systems. Your focus will be on leveraging cutting-edge deep generative modeling techniques to produce highly realistic and controllable AI-generated content. Key Responsibilities: - Research and develop state-of-the-art generative models, such as Diffusion Models, 3D VAEs, and GANs, to power AI-driven media synthesis. - Build and optimize AI pipelines for high-fidelity image/video generation and lip syncing using diffusion and autoencoder models. - Develop advanced lip-syncing and multimodal generation models that integrate speech, video, and facial animation for hyper-realistic AI-driven content. - Implement and optimize models for real-time content generation and interactive AI applications. - Collaborate with software engineers to efficiently deploy models on cloud-based architectures (AWS, GCP, or Azure). - Design and conduct experiments to evaluate model performance, improve fidelity, realism, and computational efficiency. - Participate in code reviews, enhance model efficiency, and document research findings for team knowledge-sharing. Qualifications Required: - Hold a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field. - Have at least 3 years of experience working with deep generative models. - Proficiency in Python and deep learning frameworks like PyTorch. - Expertise in multi-modal AI, text-to-image, image-to-video generation, and audio to lip sync. - Strong understanding of machine learning principles, statistical methods, and problem-solving abilities. - Experience with transformers, vision-language models, cloud-based AI pipelines, and model compression techniques is advantageous. - Contributions to open-source projects or published research in AI-generated content, speech synthesis, or video synthesis will be beneficial.,