Applied Scientist - AI-3D Creation Engine - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

Job description

Responsibilities We are looking for talented individuals to join our team in 2027. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company. Successful candidates must be able to commit to an onboarding date by end of year 2027. Please state your availability and graduation date clearly in your resume. Team Introduction: Join the Graphics Engine Team , where we push the boundaries of digital interaction by developing proprietary physics simulation, animation, and rendering systems. Our team merges pioneering research with robust engineering to build sophisticated frameworks and mathematical models that power dynamic simulations, advanced animation, and rendering solutions, while prioritizing real-time performance. We leverage modern machine learning technologies, to emulate complex physics interactions at speeds multiple orders of magnitude faster than traditional methods, and to tackle challenging computer graphics problems that no conventional technique can solve. We are committed to pioneering new frontiers in technology, ensuring remains at the forefront of innovation in the industry. Top content: Graphics rendering serves as core infrastructure for multimedia applications. Amid the rapid growth of short-video and interactive entertainment, the traditional production pipeline-marked by long cycles, high costs, and steep technical barriers-has severely limited creative expression for mainstream users. In recent years, breakthroughs in AIGC (such as emerging representations like NeRF and 3DGS) have driven 3D generation from experimental research toward commercial deployment, establishing it as a critical foundation for future spatial intelligence.This topic focuses on cutting-edge 3D generation technologies, aiming to evolve the 3D production pipeline from the traditional "modeling-simulation-rendering" workflow to a new AIGC-driven paradigm: "AI Objects - AI Scenes - AI Animation - AI Rendering." Through this transformation, the project seeks to drastically lower barriers to 3D creation, fully empower the interactive entertainment ecosystem, and build a robust technical foundation for spatial intelligence. Topic Challenges: -Insufficient 3D data: High-quality native 3D model data remains severely scarce globally (fewer than 10 mi…