Algorithm Engineer-TikTok E-Commerce

Overview Algorithm Engineer-TikTok E-Commerce (Conversational AI)Responsibilities Develop AI-Powered Customer Service Systems: Design and implement an AI-driven conversational customer service agent that can handle e-commerce inquiries, complaints, refunds, dispute resolutions, and logistical issues, replacing traditional human customer service agents. LLM Post-Training & Data-Efficient Learning: Apply state-of-the-art LLM post-training techniques, such as instruction tuning, reinforcement learning from human feedback (RLHF), and continual learning, to optimize AI customer service responses with minimal labeled data. Benchmark and training data construction: Identify challenging customer service interactions, such as policy clarifications, dispute handling, and multi-turn complaint resolution, and construct specialized datasets to enhance AI training. Develop Multilingual Customer Support: Build AI models capable of handling customer service interactions across multiple languages and cultural contexts, ensuring accurate translation and appropriate responses for a diverse global audience. Optimize Model Efficiency & Deployment: Work on model compression, quantization, and efficient inference techniques to ensure the AI customer service assistant can run at scale with low latency and high reliability. Create Automated Dispute Resolution & Policy-Adaptive AI: Develop intelligent models capable of handling disputes, verifying transaction details, and ensuring platform compliance in automated responses. Develop Multilingual Support & Translation Models: Enhance the platform’s AI translation capabilities for real-time multilingual customer service interactions, ensuring smooth cross-language communication. Refine Response Evaluation Metrics: Define and implement quality evaluation metrics for AI-generated responses to track customer satisfaction and improve conversational AI quality through A/B testing and iterative optimization. Enable AI-Seller Collaboration: Build AI-powered seller assistance tools to help merchants quickly respond to customer inquiries, manage store operations, and resolve disputes efficiently. Optimize Large-Scale Model Deployment: Work on model compression, inference optimization, and edge AI deployment to ensure real-time, high-quality customer service experiences at scale. Qualifications Minimum Qualifications Bachelor and above with majors in computer science, computer engineering, statistics, applied mathematics, data science or other related disciplines. At least 3 years of work experience in the related field LLM Development & Post-Training Expertise: Experience in fine-tuning, distillation, or reinforcement learning of large language models for conversational AI applications. Multilingual AI Development: Proficiency in multilingual NLP, machine translation, and cross-lingual dialogue modeling. Preferred Qualifications E-commerce Business Acumen: Understanding of e-commerce policies, dispute resolution workflows, and merchant-buyer interactions to enhance AI service design. Advanced NLP & Deep Learning: Strong grasp of AI agents, retrieval augmented generation, mixture of experts, sparse attention, reinforcement learning, inference time scaling etc. for improving AI dialogue quality. Scalability & Efficiency: Experience in distributed model training, low-latency inference, and edge AI for large-scale customer service applications. About TikTok TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join Us Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We\'re resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us. Diversity & Inclusion TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. Seniority level Not Applicable Employment type Full-time Job function Engineering and Information Technology Industries: Software Development, Computer Networking Products, and Technology, Information and Internet Referrals increase your chances of interviewing at TikTok by 2x Related roles Algorithm Engineer, TikTok Search - 2025 Start Security/Embedded Systems Engineer (TEE)- Remote, Worldwide | Edinburgh, On Site Algorithm Engineer, Paid Ads (Campus Recruitment 2026)Algorithm Engineer Intern, Recommendation (Aug - Dec 2025)Machine Learning Engineer (Search E-Commerce) Intern, TikTok Global E-Commerce - 2025 Start Machine Learning Engineer, TikTok Search Ranking - 2025 Start #J-18808-Ljbffr