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About Rival: Backed by top VCs and angels, Rival is building a unique 3D content-sharing platform and a first-of-its-kind foundational AI model that converts any 2D video into an immersive 3D experience. Currently a team of 13, Rival has brought together talents from Google, Meta, Amazon, BCG, Morgan Stanley, etc. Project Overview: We are seeking a highly motivated PhD intern to join our team and contribute to an exciting project focused on developing a novel, end-to-end system for converting standard 2D videos into compelling 3D (stereoscopic or depth-based) formats using advanced AI techniques. The goal is to research, design, and implement deep learning models capable of understanding scene geometry, motion, and temporal consistency directly from monocular video input to generate high-quality 3D output automatically. This research has the potential to revolutionize content creation and consumption for VR/AR and 3D displays. Your Responsibilities: Conduct literature reviews on state-of-the-art methods in monocular depth estimation, novel view synthesis, video understanding, and 2D-to-3D conversion. Design, implement, and experiment with deep learning architectures (e.g., Transformers, CNNs, GANs, Diffusion Models) for the 2D-to-3D conversion task. Focus on key challenges such as temporal consistency, handling complex motion, maintaining geometric accuracy, and computational efficiency. Process and manage large-scale video datasets for training and evaluation. Collaborate closely with researchers and engineers to integrate findings into a prototype system. Analyze results, document findings, and present progress regularly. Contribute to potential publications or patent applications based on research outcomes. Required Qualifications: Currently enrolled in / just finished a PhD program in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field. Research focus in Computer Vision, Deep Learning, Machine Learning, or Graphics. Solid theoretical understanding and practical experience in deep learning and computer vision fundamentals. Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). Experience working with image and/or video data. Strong analytical, problem-solving, and research skills. Excellent communication and collaboration abilities. Preferred Qualifications: Track record of relevant publications in top-tier CV/ML conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, SIGGRAPH). Experience specifically with monocular depth estimation, stereoscopic vision, view synthesis, video generation, or 3D reconstruction. Familiarity with video processing tools (e.g., OpenCV, FFmpeg). Experience with large-scale model training and data pipelines. Contributions to relevant open-source projects.
We're seeking an experienced Bank Technician to join our team. As a payments and core banking expert, you'll be responsible for ensuring seamless transaction processing, integrating with various banking systems, and providing technical support for our banking operations. Key Responsibilities: 1. Transaction Processing: Manage and monitor transaction processing for various payment types, including SEPA, SWIFT, and domestic payments. 2. Core Banking System Integration: Integrate and maintain connections with core banking systems, such as Finacle. 3. API Integration: Develop and maintain API integrations with various banking systems, including N26, Starling Bank, and Solaris Bank. 4. Technical Support: Provide technical support for banking operations, including troubleshooting and resolving technical issues. 5. Compliance and Risk Management: Ensure compliance with regulatory requirements and manage risk associated with transaction processing and core banking system integration. Requirements: 1. Education: Bachelor's degree in Computer Science, Information Technology, or related field. 2. Experience: Minimum 5 years of experience in banking technology, payments, and core banking systems. 3. Knowledge: In-depth knowledge of: - Payment systems (SEPA, SWIFT, etc.) - Core banking systems (Finacle, etc.) - API integration and development - Banking regulations and compliance - Risk management and security measures 4. *Skills* : Proficient in: - Programming languages (Java, Python, etc.) - API development and integration - Database management (Oracle, MySQL, etc.) - Operating systems (Windows, Linux, etc.) 5. *Certifications* : Relevant certifications, such as ITIL, Agile, or banking-specific certifications. Nice to Have: 1. Experience and familiarity with banking systems and their APIs. 2. Knowledge of cloud-based banking platforms: Experience with cloud-based banking platforms, such as Amazon Web Services (AWS) or Microsoft Azure. 3. Certifications in banking and finance: Additional certifications, such as CFA, FRM, or banking-specific certifications. What We Offer: 1. Competitive salary*: A highly competitive salary based on experience and qualifications. How to Apply: If you're a motivated and experienced banking technology professional looking for a new challenge, please submit your resume and cover letter to me .