Algorithm Engineer-TikTok E-Commerce (Conversational AI)

TIKTOK PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading e-commerce platform in Singapore is seeking an AI Developer to create AI-powered customer support systems. The ideal candidate will have a degree in computer science and at least 3 years of experience with large language models. Responsibilities include enhancing AI customer interactions, developing multilingual support, and optimizing response accuracy. Join a diverse team and contribute to innovative AI solutions that enhance user experiences on a global platform.

Benefits

Competitive compensation

Flexible hours

Career growth opportunity

Qualifications

• Minimum 3 years of experience in AI or NLP.
• Proficiency in developing AI-driven customer service systems.
• Experience with LLMs in conversational AI.

Responsibilities

• Develop AI customer support systems for e-commerce.
• Implement LLM post-training techniques for improved interactions.
• Build multilingual support for diverse customer base.

Skills

LLM Development & Post-Training

Multilingual NLP

E-commerce Policies

Machine Translation

Deep Learning

Education

Bachelor’s degree in computer science or related field

Job description

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 its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy – a mission we all believe in and aim toward achieving every day. To us, every challenge, no matter how difficult, is an opportunity to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact—for ourselves, our company, and the communities we serve. Join us.

About the Team

The future of e-commerce customer service is intelligent, efficient, and AI-driven. Our team is dedicated to replacing traditional human-agent customer service with an advanced AI‑powered conversational system that provides instant, intelligent, and seamless support for TikTok's global e-commerce platform. By leveraging Large Language Models (LLMs) and NLP, we build an AI customer service system that can understand user queries, resolve disputes, guide transactions, and enhance the overall shopping experience without the need for human intervention. Our cutting‑edge AI is designed to handle complex customer interactions, including answering product inquiries, resolving order issues, processing refunds, and assisting sellers with operational tasks. Through LLM post‑training, we ensure that our AI assistant continuously learns and improves, providing more accurate, context‑aware, and human‑like interactions.

Job Highlights

• Positive team atmosphere
• Career growth opportunity
• Flat organization
• 100+ million users
• Industry experts
• Competitive compensation
• Flexible hours

Work Authorization

TikTok will prioritize applicants who have a current right to work in Singapore and do not require TikTok sponsorship of a visa.

What You Will Do

• 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.

Responsibilities

1. Develop AI Customer Support Systems: Build and optimize AI‑driven customer service models capable of handling high‑volume, complex user inquiries while ensuring high response accuracy and reliability.
2. Enhance LLM‑Based Customer Interaction Models: Implement LLM post‑training strategies to improve customer support interactions, reducing errors, hallucinations, and irrelevant responses.
3. Create Automated Dispute Resolution & Policy‑Adaptive AI: Develop intelligent models capable of handling disputes, verifying transaction details, and ensuring platform compliance in automated responses.
4. Develop Multilingual Support & Translation Models: Enhance the platform’s AI translation capabilities for real‑time multilingual customer service interactions, ensuring smooth cross‑language communication.
5. 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.
6. 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.
7. 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’s degree or higher 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.

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.