<p>About the team The Multimedia Arch Web team is the innovation engine for TikTok's user-facing media technology on Web. We are responsible for the end-to-end web multimedia experience, from low-level playback architecture to cutting-edge AI-driven features. Our work includes building high-performance Web Players (VoD & Live) and SDKs(TikTok Embed Player, Upload SDK, Audio SDKs etc Multimedia SDKs), pioneering the use of WebAssembly and WebGPU for media processing, developing sophisticated AI-powered diagnostic and efficiency platforms, and exploring novel applications of edge AI. Joining us means you will take ownership of complex technical challenges, lead ambitious projects, and shape the future of multimedia on a global scale.</p> <p>Responsibilities</p> <ul> <li>Drive 0-to-1 exploration of LLM or AI Agent or in-browser AI applications, using frameworks like ONNX Runtime Web, Transformers.js, or MediaPipe to build features for client-side quality enhancement, highlight extraction, video/audio analysis, and environment awareness. </li><li>Lead the architectural design and implementation of highly-performant, scalable multimedia playback systems, leveraging technologies like WebCodecs, MSE/EME, and WebAssembly (WASM) to deliver an extreme playback experience. </li><li>Architect and develop sophisticated internal platforms and efficiency tools, integrating LLMs, RAG, and Function Calling to create intelligent troubleshooting assistants, automated on-call systems, and deep-dive multimedia analysis dashboards. </li><li>Champion technical excellence and cross-organization collaboration, setting standards for code quality, performance, and system design while mentoring junior engineers and influencing technical roadmaps. </li><li>Own the end-to-end performance of critical multimedia components, conducting deep-dive analysis, optimizing low-latency streaming, ABR logic, and ensuring DRM-protected content is delivered seamlessly. </li><li>Proactively identify and solve complex technical challenges across the stack, from low-level browser rendering (WebGL/WebGPU) to high-level application logic, ensuring our systems are robust, scalable, and maintainable.Minimum Qualifications: </li><li>BA/BS Degree in Computer Science or related major. Expert-level proficiency in TypeScript/JavaScript (ES6+), modern frontend frameworks (e.g., React), advanced CSS, and frontend performance optimizations. </li><li>5 years of professional experience in frontend development, with a proven track record of shipping high-impact, large-scale web applications or complex end-to-end system architecture. </li><li>AI Native mindset, vision and capabilities. Master usage of AI for dev efficiency, and ability to translate AI advancements into tangible business value. </li><li>Deep mastery of browser engine internals, rendering pipelines, memory management, and multi-threading (Web Workers) to resolve extreme performance bottlenecks under high-traffic scenarios. </li><li>Understanding or experience in Multimedia domain, such as working on video related platforms/products, understanding of video codecs, video quality optimization or web media player related concepts. </li><li>Great communication and collaboration skills. A strong team player mindset. Is capable of driving XFN projects, and large scale cross team project management. </li><li>Excellent problem-solving, thriving in ambiguity and analytical thinking skills, fast learning and entrepreneurial spirit. Pays attention to cutting-edge technologies and projects, loves innovation and is capable of spearheading innovative technical solutions to complex challenges. </li></ul> <p>Preferred Qualifications:</p> <ul> <li>Deep expertise and industry experience in the multimedia technology stack (e.g., Web Player, WebCodecs, MSE/EME, WebRTC, Web Audio API, low-latency streaming, ABR, DRM). </li><li>Expertise in designing, building and deploying large-scale AI solutions, with a focus on on-device inference. Deeply proficient in frameworks such as ONNX Runtime Web, Transformers.js, MediaPipe, or WebNN. Capable of architecting hybrid AI systems that balance server-side power with browser-side efficiency. AI model training and optimization experience is an extra plus. </li><li>Proficiency in low-level Web technologies, including WebGL/WebGPU for hardware-accelerated processing, and WebAssembly (Wasm) for high-performance computation. Deeply familiar with multi-threading strategies (Web Workers) to maintain smooth UI experiences during intensive multimedia/AI tasks. </li><li>Expertise in architecting AI Agent workflows and integrating LLMs into production-grade systems. Deeply familiar with Generative UI patterns, including handling streaming data and managing adaptive interfaces driven by model intent. Experience in bridging generative capabilities with traditional web constraints is highly valued. </li><li>A holistic view of complex end-to-end system architecture is an extra plus. Proficiency in full-stack technologies (especially Golang/BFF) to optimize the entire data pipeline from server-side ingestion to client-side AI rendering. </li></ul>