Deep Learning Engineer

As a Deep Learning Engineer, you will be responsible for utilizing cutting-edge Deep Learning techniques to develop advanced algorithms for neural rendering using Python and popular deep learning frameworks. You will collaborate closely with a team of passionate researchers and developers to address complex challenges in deep learning, including multi-modal image synthesis, audio-visual data fusion, and image/video transformation. Your role will involve enhancing the performance of products to ensure high levels of accuracy, speed, and scalability, with guidance from senior team members. Additionally, you will integrate developed software, algorithms, and AI models into our products and services, working collaboratively with stakeholders. It will be your responsibility to maintain the software's security, reliability, and maintainability, following the guidance of senior team members. You will be required to conduct thorough testing and validation to meet the desired performance standards. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. You should have at least 3 years of industry or research experience in deep learning and computer vision, focusing on areas such as computational photography, neural talking head synthesis, representation and synthesis of lifelike facial attributes, and video synthesis. Experience with self-supervised, few-shot, or zero-shot learning techniques for image synthesis, as well as domain adaptation techniques for face image synthesis, is highly desirable. Moreover, you should have a strong understanding of Generative networks for use-cases like Super-resolution, In painting, etc., and state-of-the-art deepfake algorithms. A minimum of 2 years of relevant experience with generative networks like Transformers, GANs, Auto-encoders, Diffusion models, etc., and at least 1-year experience with Vision Transformers is required. Experience with multi-modal image synthesis with audio-visual data and proficiency in Python programming and deep learning frameworks like PyTorch or TensorFlow are essential, with a minimum of 3 years of experience. Furthermore, experience in developing scalable tools and solutions for real-world computer vision problems or visual effects, exceptional problem-solving skills, and the ability to work effectively in a team environment are crucial for this role. Candidates with an MS or Ph.D. in Visual Computing, Computer Vision, Machine Learning, or a related field, as well as experience with 3D GANs for human body/face synthesis, will be considered a bonus.,