Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Algorithm Engineer TikTok E Commerce (Conversational AI).
Singapore Jobs Expertini

Urgent! Algorithm Engineer-TikTok E-Commerce (Conversational AI) Job Opening In singapore, Singapore – Now Hiring TikTok

Algorithm Engineer TikTok E Commerce (Conversational AI)



Job description

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 are building 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 is continuously learning and improving, providing more accurate, context-aware, and human-like interactions.
By joining us, you will be at the forefront of transforming customer service in e-commerce, helping build an AI system that understands, adapts, and provides intelligent solutions—all while reducing costs and improving efficiency for merchants and the platform.
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.



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.


Required Skill Profession

Computer Occupations



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your Algorithm Engineer Potential: Insight & Career Growth Guide


  • Real-time Algorithm Engineer Jobs Trends in singapore, Singapore (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Algorithm Engineer in singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 29848 jobs in Singapore and 25435 jobs in singapore. This comprehensive analysis highlights market share and opportunities for professionals in Algorithm Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

  • Are You Looking for Algorithm Engineer TikTok E Commerce (Conversational AI) Job?

    Great news! is currently hiring and seeking a Algorithm Engineer TikTok E Commerce (Conversational AI) to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

  • The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at TikTok adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:
    • 1. Independence
    • 2. Loyalty
    • 3. Impartiality
    • 4. Integrity
    • 5. Accountability
    • 6. Respect for human rights
    • 7. Obeying Singapore laws and regulations
  • What Is the Average Salary Range for Algorithm Engineer TikTok E Commerce (Conversational AI) Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

  • What Are the Key Qualifications for Algorithm Engineer TikTok E Commerce (Conversational AI)?

    Key qualifications for Algorithm Engineer TikTok E Commerce (Conversational AI) typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.

  • How Can I Improve My Chances of Getting Hired for Algorithm Engineer TikTok E Commerce (Conversational AI)?

    To improve your chances of getting hired for Algorithm Engineer TikTok E Commerce (Conversational AI), consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

  • Interview Tips for Algorithm Engineer TikTok E Commerce (Conversational AI) Job Success
    TikTok interview tips for Algorithm Engineer TikTok E Commerce (Conversational AI)

    Here are some tips to help you prepare for and ace your job interview:

    Before the Interview:
    • Research: Learn about the TikTok's mission, values, products, and the specific job requirements and get further information about
    • Other Openings
    • Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.
    • Dress Professionally: Choose attire appropriate for the company culture.
    • Prepare Questions: Show your interest by having thoughtful questions for the interviewer.
    • Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.
    During the Interview:
    • Be Punctual: Arrive on time to demonstrate professionalism and respect.
    • Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.
    • Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.
    • Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.
    • Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.
    • Follow Up: Send a thank-you email to the interviewer within 24 hours.
    Additional Tips:
    • Be Yourself: Let your personality shine through while maintaining professionalism.
    • Be Honest: Don't exaggerate your skills or experience.
    • Be Positive: Focus on your strengths and accomplishments.
    • Body Language: Maintain good posture, avoid fidgeting, and make eye contact.
    • Turn Off Phone: Avoid distractions during the interview.
    Final Thought:

    To prepare for your Algorithm Engineer TikTok E Commerce (Conversational AI) interview at TikTok, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the TikTok's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

  • How to Set Up Job Alerts for Algorithm Engineer TikTok E Commerce (Conversational AI) Positions

    Setting up job alerts for Algorithm Engineer TikTok E Commerce (Conversational AI) is easy with Singapore Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!