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. Your focus will be on leveraging cutting-edge deep generative modeling techniques to produce highly realistic and controllable AI-generated content. You will be responsible for researching and developing state-of-the-art generative models to power AI-driven media synthesis. Additionally, you will work on building and optimizing AI pipelines for high-fidelity image/video generation and lip syncing using diffusion and autoencoder models. Your expertise will also be utilized in developing advanced lip-syncing and multimodal generation models that integrate speech, video, and facial animation for hyper-realistic AI-driven content. Key Responsibilities: - Design, develop, and deploy advanced models for end-to-end content generation - Research and develop state-of-the-art generative models such as Diffusion Models, 3D VAEs, and GANs - Build and optimize AI pipelines for high-fidelity image/video generation and lip syncing - Develop advanced lip-syncing and multimodal generation models integrating speech, video, and facial animation - Implement and optimize models for real-time content generation and interactive AI applications - Collaborate with software engineers to deploy models on cloud-based architectures - Stay updated on the latest trends in deep generative models, diffusion models, and transformer-based vision systems - 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: - Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field - 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 - Contributions to open-source projects or published research in AI-generated content, speech synthesis, or video synthesis Additional Company Details: Omit this section as no additional details of the company were present in the job description.,