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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.
The Role As Food Safety & Quality Manager, you will be the key player in ensuring our kitchens meet and exceed all food safety and hygiene standards. You will be hands-on, spending 80% of your time in our stores auditing, improving, and refining our food safety and quality processes. The remaining 20% of your role will involve administrative responsibilities, including monitoring compliance systems, updating literature for menu changes, and supporting operational improvements. This is a critical role in our operations team, ensuring our teams are confident in food safety practices and that we are always ahead of the curve when it comes to compliance and best practices. Key Responsibilities Food Safety & Compliance (80% Store-Based) • Conduct daily audits across our stores to ensure food safety and quality standards are upheld. • Identify areas of improvement and work with store teams to implement best practices. • Monitor cleanliness, food handling, stock rotation, and temperature controls in all kitchens. • Provide coaching and training to the team on food safety and hygiene procedures. • Investigate and address food safety incidents, working with teams to implement corrective actions. • Keep up to date with UK food safety regulations and ensure compliance across all sites. • Support stores in maintaining Level 5 Food Hygiene Ratings at all locations. Systems & Administration (20% Office-Based) • Monitor and update food safety compliance systems (e.g., HACCP documentation, due diligence records). • Review and update SOPs (Standard Operating Procedures) and food safety policies as needed. • Support the menu development team by ensuring food safety considerations are included in new product launches. • Assist with supplier audits and food quality control processes. Team Collaboration & Support • As part of the Operations Team, there may be rare occasions where you’re needed outside of your role—whether that’s supporting a store in a crunch moment or helping out on a project. At The Salad Project, we believe in a hands-on, team-first approach. What We’re Looking For Food Safety Experience: Minimum 2 years in a food safety, quality assurance, or compliance role within hospitality, QSR, or food production. Strong Auditing Skills: You know what excellent food safety looks like and aren’t afraid to highlight gaps and drive improvements. HACCP & Food Safety Level 3 (or higher): A solid understanding of food safety legislation and HACCP principles. Detail-Oriented & Proactive: You spot potential risks before they become issues and are always thinking about the next step for improvement. Confident & Approachable: You can work closely with store teams, ensuring they feel supported while maintaining high standards. Organized & Efficient: Able to balance store visits, audits, and admin work effectively. Startup Mindset: Willing to jump in when needed, even if it’s outside your core role. Why Join The Salad Project? A growing brand: Be part of an ambitious company that’s making fresh food exciting. Impactful role: Your work will directly shape our food safety culture and operational success. Fast-moving environment: Every day is different, and we move fast to make things happen. Career Growth: As we scale, there will be plenty of opportunities for you to grow with us.