Utilize cutting-edge deep learning techniques to develop advanced algorithms for neural rendering using Python and popular deep learning frameworks. 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. Enhance the performance of products, ensuring high levels of accuracy, speed, and scalability, with guidance from senior team members. Integrate developed software, algorithms, and AI models into our products and services, working collaboratively with stakeholders. Maintain the software's security, reliability, and maintainability, following senior team members" guidance. Conduct thorough testing and validation to meet the desired performance. Requirements: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 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. - Strong understanding of Generative networks for various use-cases like Super-resolution, Inpainting, etc., and state-of-the-art deepfake algorithms. - Minimum 2 years of relevant experience with generative networks such as Transformers, GANs, Auto-encoders, Diffusion models, etc. - Minimum 1-year experience with Vision Transformers. - Experience with multi-modal image synthesis with audio-visual data. - Proficiency in Python programming and deep learning frameworks like PyTorch or TensorFlow, with at least 3 years of experience. - 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. Bonus Qualifications: - MS or Ph.D. in Visual Computing, Computer Vision, Machine Learning, or a related field. - Experience with 3D GANs for human body/face synthesis.,
Development of mobile applications using Flutter is the primary responsibility of this role. You will be expected to ensure high quality, performance, and scalability in the applications you develop. Collaboration with cross-functional teams, including product managers, designers, and backend engineers, is essential to deliver compelling and user-friendly mobile experiences. Your tasks will involve architecting and implementing a robust, maintainable, and scalable codebase following best practices and design patterns. Staying updated with the latest Flutter developments, libraries, and best practices is crucial, and you should be proactive in introducing improvements to the development process. Working closely with QA engineers to ensure thorough testing and bug-free releases will also be part of your daily routine. Additionally, participation in architectural discussions, planning sessions, and technical design reviews is expected. To be eligible for this position, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. The role requires a focus primarily on execution-level tasks and the ability to manage large data efficiently in Flutter (e.g., lazy loading, pagination). You must have at least 5 years of experience in mobile application development, with a minimum of 4 years of hands-on experience with the Flutter framework. Experience with React native is a plus, and hands-on experience with the migration of a React native app to Flutter is a must. A strong understanding of object-oriented programming principles, design patterns, and data structures is essential. You should also possess a solid understanding of mobile app architecture, UI/UX design principles, and RESTful APIs. Familiarity with version control systems (e.g., Git) and agile software development methodologies is required. Excellent problem-solving skills and the ability to troubleshoot complex technical issues are a must, along with excellent verbal and written communication skills. A background in crypto finance is preferable for this role.,
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.,
You will be responsible for developing mobile applications using Flutter, ensuring high quality, performance, and scalability. Working closely with cross-functional teams like product managers, designers, and backend engineers, you will deliver compelling and user-friendly mobile experiences. Your role will involve architecting and implementing a robust, maintainable, and scalable codebase following best practices and design patterns. It will be crucial to stay updated with the latest Flutter developments, libraries, and best practices to proactively introduce improvements to our development process. Collaborating with QA engineers is essential to ensure thorough testing and bug-free releases. Additionally, you will participate in architectural discussions, planning sessions, and technical design reviews. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Your focus will primarily be on execution-level tasks and managing large data efficiently in Flutter, such as lazy loading and pagination. You must have at least 5 years of experience in mobile application development, with a minimum of 4 years of hands-on experience with the Flutter framework. Experience with React Native is a plus, and hands-on experience with the migration of a React Native app to Flutter is a must. A strong understanding of object-oriented programming principles, design patterns, and data structures is required. You should have solid knowledge of mobile app architecture, UI/UX design principles, and RESTful APIs. Proficiency in version control systems like Git and agile software development methodologies is expected. Strong problem-solving skills and the ability to troubleshoot complex technical issues are essential. Excellent verbal and written communication skills are necessary for effective collaboration within the team. While not mandatory, a background in crypto finance is preferable for this role.,
You will be responsible for developing, testing, and maintaining scalable, high-quality frontend code using Next.js, React.js, and Tailwind CSS. Your role will involve building responsive user interfaces to ensure cross-browser compatibility and optimizing applications for speed, scalability, and user experience. You will take ownership of the entire development cycle, from coding through deployment, monitoring, and maintenance. Collaborating closely with backend engineers, you will create seamless API integrations and support full-stack initiatives. Additionally, you will lead technical discussions, mentor junior engineers, and establish best practices while staying updated with the latest frontend and backend technologies and industry trends. To qualify for this role, you should have at least 5 years of frontend development experience with advanced proficiency in Next.js, React.js, and Tailwind CSS. A strong command of JavaScript, HTML5, and CSS3 is required, along with experience in responsive design, component-driven architecture, and styling. You should possess a solid understanding of development-to-deployment processes, including CI/CD and containerization (specifically Docker) and be familiar with RESTful APIs and GraphQL for efficient data handling. Experience with version control, preferably Git, is necessary, and knowledge of backend technologies such as Node.js, databases (SQL/NoSQL), and cloud platforms (AWS, GCP, Azure) would be highly advantageous. Strong problem-solving skills and attention to detail are essential for success in this role.,